- What drives the progress of autonomous driving?
- How far is the technology?
- How far has legislation come?
- How is autonomous driving perceived by the end consumer?
We look at the state of play concerning autonomous driving, reviewing major development of 2017 and provide an outlook for 2018.
The future of autonomous vehicles 2019 Interim ReportFuture Agenda
There are great expectations around the future of autonomous vehicles (AVs) and equally much uncertainty. Some believe that AVs will transform safety and efficiency and are making significant investments in this area. Others are concerned that the technological developments are outpacing society’s ability to adapt, and there is an urgent requirement to develop better regulation before there is widespread deployment. A global Open Foresight project exploring the key issues for the future of AVs is being undertaken by Future Agenda. Expert workshops around the world are building the informed view.
This interim report shares the findings from the first five expert discussions in Los Angeles, Frankfurt, Singapore, Wellington and Melbourne. It highlights the emerging issues that are the source of major debate around the world. These include the impact of regulation; the ambition for less congestion; rethinking transport planning; the first/last mile challenge; the opportunities for automated freight and the need for more and better data sharing.
Future of autonomous vehicles interim report summary - 29 august 2019-compr...Future Agenda
The Future of Autonomous Vehicles
Throughout 2019 we are undertaking a series of expert workshops around the world exploring the future of autonomous vehicles. To date 5 discussions have taken place in Los Angeles, Frankfurt, Singapore, Wellington and Melbourne.
This is the summary of a detailed interim report which is being shared from September 8th on www.futureautonomous.org
Additional events are taking place during Q4 of 2019 ahead of the release of a final report.
There are great expectations around the future of autonomous vehicles (AVs) and equally much uncertainty. Some believe that AVs will transform safety and efficiency and are making significant investments in this area. Others are concerned that the technological developments are outpacing society’s ability to adapt, and there is an urgent requirement to develop better regulation before there is widespread deployment. A global Open Foresight project exploring the key issues for the future of AVs is being undertaken by Future Agenda. Expert workshops around the world are building the informed view.
This project was kicked-off with a global review of the emerging landscape for autonomous vehicles. As well looking at the historical context for self-driving cars and trucks, this initial perspective explores the benefits of AVs; different issues for the movement of people vs. goods; the three primary drivers of adoption and the primary centres for innovation. It also includes commentary on the parallel developments in seaborne and air-based autonomous vehicles. It ends with some of the key questions to be explored by the project.
Future of autonomous vehicles initial perspective - 8 october 2018Future Agenda
Future of Autonomous Vehicles
With so much investment and tech development underway, many are asking where, how and when will we see self-driving cars, buses and trucks on the streets in earnest? A host of companies, cities and countries are competing and collaborating to move things forward – but is could be a decade or so before there is mass market traction. In addition, what about seaborne AV as well as drones, air-taxis and, maybe, pilotless planes?
Ahead of the launch of a detailed initial perspective in Shanghai in November this is a summary of 30 of the key issues that experts have already raised. As part of a major global open foresight programme we will be running 15 events around the world in the first half of 2019 exploring these and additional issues – building an informed, global view for all.
We have many key locations already defined, but if you are interested in hosting or co-hosting one of these events, do let us know and we can include as we work on the overall schedule. As with all our projects (e.g. www.futureofpatientdata.org) we will share all insights from each location and publish a global synthesis.
For more details contact tim.jones@futureagenda.org
ADOT Road to the Future Autonomous Vehicles Presentation 9/27/18Mark Goldstein
I was pleased to give the luncheon keynote at the Arizona Department of Transportation (ADOT) Road to the Future Conference titled "The Autonomous Revolution of Vehicles and Transportation" on 9/27/18 in Scottsdale, Arizona.
And for my recent presentation to the Society of Automotive Engineers (SAE) Arizona with even more AV related details and depth see https://www.slideshare.net/markgirc/sae-arizona-autonomous-vehicles-irc-presentation-on-92018.
Introduction to Connected Cars and Autonomous VehiclesBill Harpley
This is the first of two lectures which were given to students and academic staff at the University of Portsmouth on March 28th 2017. It provides a broad overview of the technical and public policy challenges faced by the automotive industry.
5 Autonomous Cars Trends Everyone Should Know About In 2019Bernard Marr
Autonomous cars are coming. Even if we might not have completely self-driving cars on all our roads by 2019, there are some important trends that map out the path of autonomous driving. Here we look at the key ones.
This report summarizes findings from a three-year collaboration between the World Economic Forum and The Boston Consulting Group (BCG) to explore how autonomous vehicles could reshape the future of urban mobility. The project built on the collective insights generated from the Autonomous and Urban Mobility Working Group (Working Group) of the System Initiative on Shaping the Future of Mobility, composed of roughly 35 business executives from diverse industries (including automotive, technology, logistics, insurance, utilities and infrastructure) that convened for 10 full-day workshops and numerous conference calls.
The future of autonomous vehicles 2019 Interim ReportFuture Agenda
There are great expectations around the future of autonomous vehicles (AVs) and equally much uncertainty. Some believe that AVs will transform safety and efficiency and are making significant investments in this area. Others are concerned that the technological developments are outpacing society’s ability to adapt, and there is an urgent requirement to develop better regulation before there is widespread deployment. A global Open Foresight project exploring the key issues for the future of AVs is being undertaken by Future Agenda. Expert workshops around the world are building the informed view.
This interim report shares the findings from the first five expert discussions in Los Angeles, Frankfurt, Singapore, Wellington and Melbourne. It highlights the emerging issues that are the source of major debate around the world. These include the impact of regulation; the ambition for less congestion; rethinking transport planning; the first/last mile challenge; the opportunities for automated freight and the need for more and better data sharing.
Future of autonomous vehicles interim report summary - 29 august 2019-compr...Future Agenda
The Future of Autonomous Vehicles
Throughout 2019 we are undertaking a series of expert workshops around the world exploring the future of autonomous vehicles. To date 5 discussions have taken place in Los Angeles, Frankfurt, Singapore, Wellington and Melbourne.
This is the summary of a detailed interim report which is being shared from September 8th on www.futureautonomous.org
Additional events are taking place during Q4 of 2019 ahead of the release of a final report.
There are great expectations around the future of autonomous vehicles (AVs) and equally much uncertainty. Some believe that AVs will transform safety and efficiency and are making significant investments in this area. Others are concerned that the technological developments are outpacing society’s ability to adapt, and there is an urgent requirement to develop better regulation before there is widespread deployment. A global Open Foresight project exploring the key issues for the future of AVs is being undertaken by Future Agenda. Expert workshops around the world are building the informed view.
This project was kicked-off with a global review of the emerging landscape for autonomous vehicles. As well looking at the historical context for self-driving cars and trucks, this initial perspective explores the benefits of AVs; different issues for the movement of people vs. goods; the three primary drivers of adoption and the primary centres for innovation. It also includes commentary on the parallel developments in seaborne and air-based autonomous vehicles. It ends with some of the key questions to be explored by the project.
Future of autonomous vehicles initial perspective - 8 october 2018Future Agenda
Future of Autonomous Vehicles
With so much investment and tech development underway, many are asking where, how and when will we see self-driving cars, buses and trucks on the streets in earnest? A host of companies, cities and countries are competing and collaborating to move things forward – but is could be a decade or so before there is mass market traction. In addition, what about seaborne AV as well as drones, air-taxis and, maybe, pilotless planes?
Ahead of the launch of a detailed initial perspective in Shanghai in November this is a summary of 30 of the key issues that experts have already raised. As part of a major global open foresight programme we will be running 15 events around the world in the first half of 2019 exploring these and additional issues – building an informed, global view for all.
We have many key locations already defined, but if you are interested in hosting or co-hosting one of these events, do let us know and we can include as we work on the overall schedule. As with all our projects (e.g. www.futureofpatientdata.org) we will share all insights from each location and publish a global synthesis.
For more details contact tim.jones@futureagenda.org
ADOT Road to the Future Autonomous Vehicles Presentation 9/27/18Mark Goldstein
I was pleased to give the luncheon keynote at the Arizona Department of Transportation (ADOT) Road to the Future Conference titled "The Autonomous Revolution of Vehicles and Transportation" on 9/27/18 in Scottsdale, Arizona.
And for my recent presentation to the Society of Automotive Engineers (SAE) Arizona with even more AV related details and depth see https://www.slideshare.net/markgirc/sae-arizona-autonomous-vehicles-irc-presentation-on-92018.
Introduction to Connected Cars and Autonomous VehiclesBill Harpley
This is the first of two lectures which were given to students and academic staff at the University of Portsmouth on March 28th 2017. It provides a broad overview of the technical and public policy challenges faced by the automotive industry.
5 Autonomous Cars Trends Everyone Should Know About In 2019Bernard Marr
Autonomous cars are coming. Even if we might not have completely self-driving cars on all our roads by 2019, there are some important trends that map out the path of autonomous driving. Here we look at the key ones.
This report summarizes findings from a three-year collaboration between the World Economic Forum and The Boston Consulting Group (BCG) to explore how autonomous vehicles could reshape the future of urban mobility. The project built on the collective insights generated from the Autonomous and Urban Mobility Working Group (Working Group) of the System Initiative on Shaping the Future of Mobility, composed of roughly 35 business executives from diverse industries (including automotive, technology, logistics, insurance, utilities and infrastructure) that convened for 10 full-day workshops and numerous conference calls.
Public policy aspects of Connected and Autonomous VehiclesBill Harpley
This is a presentation which I gave to the Brighton IoT Forum meetup group ( of which I am the founder ).
I outlines the key public policy challenges for Connected and Autonomous Vehicles.
It then considers policy responses from the UK Government and examines selected cases studies from U.S. , China and Germany.
The Autonomous Revolution of Vehicles & Transportation 6/12/19Mark Goldstein
I delivered an updated and expanded version of "The Autonomous Revolution of Vehicles and Transportation" to the IEEE Computer Society Phoenix (http://ewh.ieee.org/r6/phoenix/compsociety/) on 6/12/19 at DeVry University in Phoenix, Arizona.
It’s a detailed overview of the transformation of transportation through autonomous vehicles and the advent of Mobility-as-a-Service (MaaS) including enabling sensor and communication technologies as well as why Arizona is a hot bed for development and deployment plus a forward-looking view of markets and opportunities.
Connected & Driverless vehicles: the road to Safe & Secure mobility?Bill Harpley
Over many decades, the automotive industry has built up an enviable reputation for Safety and Reliability. But will the mass arrival of connected and automous vehicles put this hard-won reputation at risk.
In future, the affordance of Safety will depend very much in the effective functioning of Cybersecurity, both in-vehicle at at infrastructure scale.
This presentation looks at how the automotive industry is managing to adapt to the brave new world of the Connected Car. It looks at the source of security vulnerabilities, the current state of the art and the measures the industry is taking to align Safety and Security design processes.
Future of Autonomous Vehicles
The dream of self-driving vehicles has been a long time coming. It is however now within reach and the pressure is on the deliver on the vision. With sustained technology development, increased investment and raising public awareness, there is enormous interest in the imminent mainstream use of autonomous vehicles on the streets.
Although approaches vary from around the world, policy makers and urban planners in leading locations are now seeking to collaborate more with manufacturers, mobility providers, tech suppliers, logistics operators in order to align regulation for testing and mass deployment. And it goes both ways.
The investments being made in autonomy have rapidly shifted from millions to billions, so unsurprisingly those public and private organisations that are providing the funds are keen to ensure that the ROI is credible. There is much to play for and, although there has been substantial progress over recent years, significant questions on safety, social impact, business models and performance are still unanswered.
The Future of Autonomous Vehicles project was undertaken to canvas the views of a wide range of experts from around the world in order to create a clearer, informed global perspective of how autonomy will evolve over the next decade. Beginning with a discussion with government officials just outside Shanghai in July 2018 and ending with leaders from across the US autonomous vehicle community in the hills above Silicon Valley in February of 2020, this project has covered a lot of ground. In all, eight workshops and six additional discussions have engaged with hundreds of different opinions, shared perspectives and built considered future pathways.
This report is a synthesis of many voices and opinions on the likely future of autonomous vehicles. We hope that is useful.
Full project details are available on the dedicated mini site www.futureautonomous.org
Hitch-hikers guide to AI for Connected and Autonomous VehiclesBill Harpley
These are the slides from a talk given to the 'Self-driving and Autonomous Vehicles' meetup group, in Brighton on 12/02/2017. It provides an overview of how Artificial Intelligence (AI), Machine Learning and Deep Learning are shaping the future of the automotive industry.
The Autonomous Revolution of Vehicles and TransportationMark Goldstein
This presentation to the Greater Phoenix Mensa Regional Gathering on November 29, 2019 is a detailed overview of the transformation of transportation through autonomous vehicles and the advent of Mobility-as-a-Service (MaaS) on the ground and in the air, including why Arizona is a hotbed for development and deployment, insight into the enabling sensor and communication technologies, and a forward-looking view of societal impact, markets and opportunities. Waves of change will roll through the transportation industry and practices as autonomy ramps up in personal and mass transportation, as well as in logistics/delivery segments. We examine how autonomous vehicles will be developed, deployed and monetized, creating new business models across the transportation sector. Explore autonomous vehicles roadblocks and operational challenges, emerging standards and protocols, connected services and their associated big data strategies and opportunities.
Designing Roads for AVs (autonomous vehicles)Jeffrey Funk
Autonomous vehicles (AVs) represent one of the most promising new technologies for smart cities and for humans in general. The problem is that cities will not realize the full benefits from AVs until roads are designed for them. Until this occurs, their main benefit will be the elimination of the driver and steering wheel, which will reduce the cost and increase the capacity of taxis; but even this impact will not occur for many years because of safety concerns. Thus, in the near term, the main benefit of AVs will be free time for the driver to do emails and other smart phone related tasks.
A better solution is to design roads for AVs or in other words, to constrain the environment for AVs in order to simplify the engineering problem for them. For example, designing roads so that all vehicles can be controlled by a combination of wireless communication, RFID tags, and magnets will reduce the cost of AVs and increase their benefits. Only AVs would be allowed on these roads, they are checked for autonomous capability at the entrance, and control is returned to the driver when an AV leaves the road. Existing cars can be retrofitted with wireless modules that enable cars to be controlled by a central system, thus enabling cars to travel closely together. The magnets and RFID tags create an invisible railway that keeps the AVs in their lanes while wireless communication is used for lane changing and exiting a highway (Chang et al, 2014; Le Quesne et al, 2014). These wireless modules, magnets and RFID tags will be much cheaper than the expensive LIDAR that is needed when AVs are mixed with conventional vehicles on a road.
The benefits from dedicating roads to AVs include higher vehicle densities, less congestion, faster travel times, and higher fuel efficiencies. These seemingly contradicting goals can be achieved because AVs can have shorter inter-vehicle distances even at high speeds thus enabling higher densities, lower congestion, and lower travel times. The less congestion and thus fewer instances of slow moving or stopped vehicles enable the vehicles to travel at those speeds at which higher fuel efficiencies can be achieved (Funk, 2015). In combination with new forms of multiple passenger ride sharing, the higher fuel efficiencies will also reduce carbon emissions and thus help fight climate change.
The challenge is to develop a robust system that can be easily deployed in various cities and that will be compatible with vehicles containing the proper subsystems. Such a system can be developed in much the same way that new cellular systems are developed and tested. Suppliers of mobile phone infrastructure, automobiles, sensors, LIDAR, 3D vision systems, and other components must work with city governments and universities to develop and test a robust architecture followed by the development of a detail design.
I delivered an updated and expanded version of "The Autonomous Revolution of Vehicles and Transportation" to the Cloud Security Alliance Southwest Chapter & (ISC)2 Phoenix Chapter Joint Event on 10/16/18 in Tempe, Arizona.
A detailed overview of the transformation of transportation through autonomous vehicles and the advent of Mobility-as-a-Service (MaaS) including enabling sensor and communication technologies as well as why Arizona is a hot bed for development and deployment plus a forward-looking view of markets and opportunities.
How The Iot Affects The Automotive IndustryJeff Lupient
It is said that by 2020, more than 250 million cars will be connected to the internet. This presents an opportunity for carmakers to open up new areas where they could rake in more revenue. For example, car owners are used to purchasing automotive devices, such as in-car entertainment, dash cams, or diagnostic tools, separately. But car manufacturers instead add such features to new models.
Cybersecurity in the Age of the Everynet Bill Harpley
This presentation argues that Internet epoch has come to an end and that we are now entering the Age of the Everynet. In this new epoch, we can in principle connect every 'thing' to the global internet, thus producing the ubiquitous Everynet.
The author reviews the development of cyber security over the last few decades and asks how we can defend ourselves from cyber attacks in the hyper-connected world of the future. It concludes with a summary of the challenges which the Cybersecurity profession will face over the coming decade.
No Hands: The Autonomous Future of TruckingCognizant
The impacts of autonomous trucking will reverberate far beyond the trucking industry. As members of the workforce, public policy proponents, technology strategists and business leaders grapple with the technological, economic and cultural fall-out of self-driving trucks, what happens next could serve as a template for other fields influenced by AI.
A decades-old dream is on the verge of coming true. Autonomous vehicles (AVs) will hit the road as early as 2017, when several original equipment manufacturers (OEMs) and technology companies plan to launch pilot projects or roll out commercial vehicles with varying levels of self-driving capability. Mass adoption of self-driving technology will deliver tremendous economic benefits. But it will also disrupt business as usual for a wide variety of companies, including OEMs, mobility providers, and component makers. The coming AV era raises urgent questions for executives of these companies: What is the cost of these technologies and what are consumers willing to pay for them? How fast will mass markets adopt AVs and how might car sharing and societal shifts impact these introductions? What technological challenges must be overcome to enable fully autonomous driving? Where should OEMs and new entrants focus their R&D investments? And how should players in the AV market address consumer concerns around safety, lack of control, and the risks of faulty technology?
Autonomous Vehicles: Technologies, Economics, and OpportunitiesJeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to show how the cost and performance of autonomous vehicles are improving rapidly. LIDAR, other sensors, ICs, and wireless are experiencing rapid improvements that are enabling the overall cost of AVs to fall. For example, the latency of wireless systems is improving rapidly thus enabling vehicles to be controlled with wireless systems. This is also creating many new opportunities in the vehicle industry in the Internet of Things, data analytics, and logistics. The slides include a detailed discussion of AVs in Singapore, a likely early adopter.
Phoenix Mobile & Emerging Tech Festival Autonomous Vehicles Presentation 11/3/18Mark Goldstein
I delivered an updated and expanded version of "The Autonomous Revolution of Vehicles and Transportation" to the Phoenix Mobile & Emerging Tech Festival on 11/3/18 at ASU in Tempe, Arizona.
A detailed overview of the transformation of transportation through autonomous vehicles and the advent of Mobility-as-a-Service (MaaS) including enabling sensor and communication technologies as well as why Arizona is a hot bed for development and deployment plus a forward-looking view of markets and opportunities.
Public policy aspects of Connected and Autonomous VehiclesBill Harpley
This is a presentation which I gave to the Brighton IoT Forum meetup group ( of which I am the founder ).
I outlines the key public policy challenges for Connected and Autonomous Vehicles.
It then considers policy responses from the UK Government and examines selected cases studies from U.S. , China and Germany.
The Autonomous Revolution of Vehicles & Transportation 6/12/19Mark Goldstein
I delivered an updated and expanded version of "The Autonomous Revolution of Vehicles and Transportation" to the IEEE Computer Society Phoenix (http://ewh.ieee.org/r6/phoenix/compsociety/) on 6/12/19 at DeVry University in Phoenix, Arizona.
It’s a detailed overview of the transformation of transportation through autonomous vehicles and the advent of Mobility-as-a-Service (MaaS) including enabling sensor and communication technologies as well as why Arizona is a hot bed for development and deployment plus a forward-looking view of markets and opportunities.
Connected & Driverless vehicles: the road to Safe & Secure mobility?Bill Harpley
Over many decades, the automotive industry has built up an enviable reputation for Safety and Reliability. But will the mass arrival of connected and automous vehicles put this hard-won reputation at risk.
In future, the affordance of Safety will depend very much in the effective functioning of Cybersecurity, both in-vehicle at at infrastructure scale.
This presentation looks at how the automotive industry is managing to adapt to the brave new world of the Connected Car. It looks at the source of security vulnerabilities, the current state of the art and the measures the industry is taking to align Safety and Security design processes.
Future of Autonomous Vehicles
The dream of self-driving vehicles has been a long time coming. It is however now within reach and the pressure is on the deliver on the vision. With sustained technology development, increased investment and raising public awareness, there is enormous interest in the imminent mainstream use of autonomous vehicles on the streets.
Although approaches vary from around the world, policy makers and urban planners in leading locations are now seeking to collaborate more with manufacturers, mobility providers, tech suppliers, logistics operators in order to align regulation for testing and mass deployment. And it goes both ways.
The investments being made in autonomy have rapidly shifted from millions to billions, so unsurprisingly those public and private organisations that are providing the funds are keen to ensure that the ROI is credible. There is much to play for and, although there has been substantial progress over recent years, significant questions on safety, social impact, business models and performance are still unanswered.
The Future of Autonomous Vehicles project was undertaken to canvas the views of a wide range of experts from around the world in order to create a clearer, informed global perspective of how autonomy will evolve over the next decade. Beginning with a discussion with government officials just outside Shanghai in July 2018 and ending with leaders from across the US autonomous vehicle community in the hills above Silicon Valley in February of 2020, this project has covered a lot of ground. In all, eight workshops and six additional discussions have engaged with hundreds of different opinions, shared perspectives and built considered future pathways.
This report is a synthesis of many voices and opinions on the likely future of autonomous vehicles. We hope that is useful.
Full project details are available on the dedicated mini site www.futureautonomous.org
Hitch-hikers guide to AI for Connected and Autonomous VehiclesBill Harpley
These are the slides from a talk given to the 'Self-driving and Autonomous Vehicles' meetup group, in Brighton on 12/02/2017. It provides an overview of how Artificial Intelligence (AI), Machine Learning and Deep Learning are shaping the future of the automotive industry.
The Autonomous Revolution of Vehicles and TransportationMark Goldstein
This presentation to the Greater Phoenix Mensa Regional Gathering on November 29, 2019 is a detailed overview of the transformation of transportation through autonomous vehicles and the advent of Mobility-as-a-Service (MaaS) on the ground and in the air, including why Arizona is a hotbed for development and deployment, insight into the enabling sensor and communication technologies, and a forward-looking view of societal impact, markets and opportunities. Waves of change will roll through the transportation industry and practices as autonomy ramps up in personal and mass transportation, as well as in logistics/delivery segments. We examine how autonomous vehicles will be developed, deployed and monetized, creating new business models across the transportation sector. Explore autonomous vehicles roadblocks and operational challenges, emerging standards and protocols, connected services and their associated big data strategies and opportunities.
Designing Roads for AVs (autonomous vehicles)Jeffrey Funk
Autonomous vehicles (AVs) represent one of the most promising new technologies for smart cities and for humans in general. The problem is that cities will not realize the full benefits from AVs until roads are designed for them. Until this occurs, their main benefit will be the elimination of the driver and steering wheel, which will reduce the cost and increase the capacity of taxis; but even this impact will not occur for many years because of safety concerns. Thus, in the near term, the main benefit of AVs will be free time for the driver to do emails and other smart phone related tasks.
A better solution is to design roads for AVs or in other words, to constrain the environment for AVs in order to simplify the engineering problem for them. For example, designing roads so that all vehicles can be controlled by a combination of wireless communication, RFID tags, and magnets will reduce the cost of AVs and increase their benefits. Only AVs would be allowed on these roads, they are checked for autonomous capability at the entrance, and control is returned to the driver when an AV leaves the road. Existing cars can be retrofitted with wireless modules that enable cars to be controlled by a central system, thus enabling cars to travel closely together. The magnets and RFID tags create an invisible railway that keeps the AVs in their lanes while wireless communication is used for lane changing and exiting a highway (Chang et al, 2014; Le Quesne et al, 2014). These wireless modules, magnets and RFID tags will be much cheaper than the expensive LIDAR that is needed when AVs are mixed with conventional vehicles on a road.
The benefits from dedicating roads to AVs include higher vehicle densities, less congestion, faster travel times, and higher fuel efficiencies. These seemingly contradicting goals can be achieved because AVs can have shorter inter-vehicle distances even at high speeds thus enabling higher densities, lower congestion, and lower travel times. The less congestion and thus fewer instances of slow moving or stopped vehicles enable the vehicles to travel at those speeds at which higher fuel efficiencies can be achieved (Funk, 2015). In combination with new forms of multiple passenger ride sharing, the higher fuel efficiencies will also reduce carbon emissions and thus help fight climate change.
The challenge is to develop a robust system that can be easily deployed in various cities and that will be compatible with vehicles containing the proper subsystems. Such a system can be developed in much the same way that new cellular systems are developed and tested. Suppliers of mobile phone infrastructure, automobiles, sensors, LIDAR, 3D vision systems, and other components must work with city governments and universities to develop and test a robust architecture followed by the development of a detail design.
I delivered an updated and expanded version of "The Autonomous Revolution of Vehicles and Transportation" to the Cloud Security Alliance Southwest Chapter & (ISC)2 Phoenix Chapter Joint Event on 10/16/18 in Tempe, Arizona.
A detailed overview of the transformation of transportation through autonomous vehicles and the advent of Mobility-as-a-Service (MaaS) including enabling sensor and communication technologies as well as why Arizona is a hot bed for development and deployment plus a forward-looking view of markets and opportunities.
How The Iot Affects The Automotive IndustryJeff Lupient
It is said that by 2020, more than 250 million cars will be connected to the internet. This presents an opportunity for carmakers to open up new areas where they could rake in more revenue. For example, car owners are used to purchasing automotive devices, such as in-car entertainment, dash cams, or diagnostic tools, separately. But car manufacturers instead add such features to new models.
Cybersecurity in the Age of the Everynet Bill Harpley
This presentation argues that Internet epoch has come to an end and that we are now entering the Age of the Everynet. In this new epoch, we can in principle connect every 'thing' to the global internet, thus producing the ubiquitous Everynet.
The author reviews the development of cyber security over the last few decades and asks how we can defend ourselves from cyber attacks in the hyper-connected world of the future. It concludes with a summary of the challenges which the Cybersecurity profession will face over the coming decade.
No Hands: The Autonomous Future of TruckingCognizant
The impacts of autonomous trucking will reverberate far beyond the trucking industry. As members of the workforce, public policy proponents, technology strategists and business leaders grapple with the technological, economic and cultural fall-out of self-driving trucks, what happens next could serve as a template for other fields influenced by AI.
A decades-old dream is on the verge of coming true. Autonomous vehicles (AVs) will hit the road as early as 2017, when several original equipment manufacturers (OEMs) and technology companies plan to launch pilot projects or roll out commercial vehicles with varying levels of self-driving capability. Mass adoption of self-driving technology will deliver tremendous economic benefits. But it will also disrupt business as usual for a wide variety of companies, including OEMs, mobility providers, and component makers. The coming AV era raises urgent questions for executives of these companies: What is the cost of these technologies and what are consumers willing to pay for them? How fast will mass markets adopt AVs and how might car sharing and societal shifts impact these introductions? What technological challenges must be overcome to enable fully autonomous driving? Where should OEMs and new entrants focus their R&D investments? And how should players in the AV market address consumer concerns around safety, lack of control, and the risks of faulty technology?
Autonomous Vehicles: Technologies, Economics, and OpportunitiesJeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to show how the cost and performance of autonomous vehicles are improving rapidly. LIDAR, other sensors, ICs, and wireless are experiencing rapid improvements that are enabling the overall cost of AVs to fall. For example, the latency of wireless systems is improving rapidly thus enabling vehicles to be controlled with wireless systems. This is also creating many new opportunities in the vehicle industry in the Internet of Things, data analytics, and logistics. The slides include a detailed discussion of AVs in Singapore, a likely early adopter.
Phoenix Mobile & Emerging Tech Festival Autonomous Vehicles Presentation 11/3/18Mark Goldstein
I delivered an updated and expanded version of "The Autonomous Revolution of Vehicles and Transportation" to the Phoenix Mobile & Emerging Tech Festival on 11/3/18 at ASU in Tempe, Arizona.
A detailed overview of the transformation of transportation through autonomous vehicles and the advent of Mobility-as-a-Service (MaaS) including enabling sensor and communication technologies as well as why Arizona is a hot bed for development and deployment plus a forward-looking view of markets and opportunities.
Self driving Vehicles An Overview of Their Influence on Tech Societyijtsrd
Autonomous vehicles have emerged as a transformative technology that promises to revolutionize how we travel and interact with transportation systems. This article aims to provide a comprehensive introduction to autonomous vehicles, exploring their definition, underlying technologies, the current state of development, and their potential impact on society. By delving into autonomous vehicles benefits, challenges, and prospects, we can better understand this rapidly evolving field and its implications for various sectors, including transportation, urban planning, safety, and the economy. Sanath D Javagal "Self-driving Vehicles: An Overview of Their Influence on Tech Society" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-5 , October 2023, URL: https://www.ijtsrd.com/papers/ijtsrd60012.pdf Paper Url: https://www.ijtsrd.com/engineering/automotive-engineering/60012/selfdriving-vehicles-an-overview-of-their-influence-on-tech-society/sanath-d-javagal
Driverless Car Technology: Patent Landscape AnalysisLexInnova
Driverless cars represent a disruptive technological change in transportation as we know it. These vehicles are capable of sensing, navigating, and communicating with their external surroundings without any human intervention. They leverage various technologies including imaging, radar, laser optics, and GPS to navigate through dynamically changing road environments.
In this report, we analyze the Intellectual Property (Patents) landscape of driverless car technology. Our analysis reveals key aspects relating to innovation in this technology, including filing trends, top assignees, their portfolio strength, and geographical coverage.
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/may-2017-embedded-vision-summit-bunger
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Mark Bünger, VP of Research at Lux Research, presents the "Automakers at a Crossroads: How Embedded Vision and Autonomy Will Reshape the Industry" tutorial at the May 2017 Embedded Vision Summit.
The auto and telecom industries have been dreaming of connected cars for twenty years, but their results have been mediocre and mixed. Now, just as a potentially costly standards battle looms between DSRC and 5G wireless communications technologies, those technologies may be leapfrogged by embedded vision – enabled by the combination of rapidly advancing image sensors, machine vision algorithms, and embedded AI chips. These technologies are not just changing the car itself; they enable new driving patterns and business models that are fueling new competitors and transforming the industry.
apidays LIVE Australia 2020 - Open Data Architecture in Mobility as a Service...apidays
apidays LIVE Australia 2020 - Building Business Ecosystems
Open Data Architecture in Mobility as a Service
Hendrik Wolff, Professor of Economics at Simon Fraser University
GreenRoad presentation in the future of IoT, connected car and Shared Mobility. Driver Safety and Fleet Management are part of the future of Connected car, Shared Mobility and IoT.
The Octavia range embodies the design trend of the Škoda brand: a fusion of
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1. A member of
h&z Autonomous Driving Roadmap
Recap 2017 – Outlook 2018
2. Slide 2h&z Autonomous Driving Roadmap 2017_2018.pptx
h&z Autonomous Driving Roadmap Recap 2017
2017 was marked by significant progress in legal framework and technology, as well as
dynamic M&A activity – consumer acceptance has room for improvement
Area
Some rapid advancements
brought Autonomous Driving a
step closer to reality but there
are still several obstacles
More than double the
investment of 2016 and some
significant deals – the market
is heating up
People are increasingly aware
of Autonomous Driving but we
are far from large scale
support and acceptance
Once the technology is ready
there are major opportunities
to create value from a range
of new business models
Many governments are still
reluctant to allow large scale
public testing. Firms complain
about unclear and fragmented
legislative landscape
All presented milestones are exclusively from 2017
Comments
Testing
Stage
III
Early Stage Ready for
Implement
action
Proven
Scalability
I II IV
Legal
Framework
Technology
M&A and
Start-ups
The Human
Factor
Potential
Business
Models
HD Map based simulations support the global testing efforts
Audi A8 uses advanced autonomous features in traffic jams
Waymo conducts first tests without any driver present
Nauto raises US$ 159m
Argo AI raises US$ 1bn from Ford
Intel acquires Mobileye for around US$ 15bn
Negative publicity: News of accidents and flawed testing spark skepticism
Ethics and autonomous driving: The debate is ongoing
but still far from advancing practical problems
First simulations of mixed traffic: Human interaction with
autonomous vehicles is still problematic
Original design manufacturing (ODM) firms invest heavily into
Autonomous Driving
Smart city: early-mover governments trial AD in urban areas
Many OEMs prepare for monetizing Autonomous Driving features
Source: h&z research
U.S. Self-Driving Car Council: Meetings and progress stalled
U.S. Highly Automated Vehicle (AV) Testing and Deployment Act:
Shift of AV oversight to National Highway Traffic and Safety Administration
UK Automated and Electric Vehicles Bill 2017–19: clear regulation on
insurance for AV and option for drivers to turn attention away from driving
Milestones
3. Slide 3h&z Autonomous Driving Roadmap 2017_2018.pptx
Autonomous Technologies on water, land and in the air
Sea-, land-, and –air-based autonomous technologies are developing in parallel, however,
land-based applications are the toughest to solve
On sea In the air
Advantages
Traffic fatalities could be reduced by up to 90% –
one of the biggest impacts on public health ever
Value of a new economy based on different AD
applications is expected to reach
US$ 800bn by 20351)
Maneuvers by vessels are generally slow,
therefore reaction time is of little importance
Vessels encounter a very stable environment
without interference from other objects
3 dimensions offer more room to maneuver
Once in the air, the environment is
less complex than on land
Disadvantages
Particularly in urban environments, autonomous
vehicles need to manage complex interactions with
a variety of uncontrollable objects
The potential savings and efficiency increases
are limited compared to land-based Autonomous
Driving technology
There is no fail-safe state in stopping
Regulations are often very strict when
a certain size of flying vehicle is reached
Cooperation between Google and Rolls Royce
Google’s Cloud Machine Learning Engine will be
used to further train the company’s artificial
intelligence based object classification system for
detecting, identifying and tracking the objects a
vessel might encounter while at sea
Pizza in the Sky
The world‘s first commercial usage of autonomous
delivery drones for food in Reykjavik, Iceland with a
60% reduction in transportation costs
Autonomous air taxis
• Firms like Ehang, Lilium,
and Volocopter work on vertical
take-off and landing
solutions – the race is on
Examples
On land In the air
Source: h&z research 1) Intel
There are several hundred projects currently
working on testing and early applications –
See next slide
4. Slide 4h&z Autonomous Driving Roadmap 2017_2018.pptx
Hot spots and projects worldwide in 2017
Most current autonomous driving applications are used in commercial context, passenger-
oriented applications are undergoing intense testing worldwide
Haul truck
Company
Komatsu
Testing site
Private industrial ground
Excavator
Company
Built Robotics Inc.
Testing site
Private construction sites
Impact protection vehicle
Company
Royal Truck & Equipment
Kratos Defense &
Security Solutions
Colas UK
Testing site
Public highways
and construction sites
Transportation cranes1)
Company
TraPac
Testing site
Private harbor area
Google’s test cars
Company
Waymo
Testing site
Public roads
Uber’s test cars
Company
Uber
Testing site
Public roads
Police cart
Company
OTSAW Digital
Testing site
Public streets
Refuse truck
Company
Volvo & Renova
Testing site
Public neighborhood
Baidu’s test cars
Company
Baidu
Testing site
Private & Public areas
Easy mile shuttle*
Company
EasyMile and DeutscheBahn
Testing site
Public roads
of commercial
industrial vehicles:
>10,000*
#
of test
vehicles: >400*
#
of commercial
passenger
vehicles: >100*
#
Source: h&z research 1) Indicative
5. Slide 5h&z Autonomous Driving Roadmap 2017_2018.pptx
Legal framework
Legislation needs to enable public testing of autonomous fleets while at the same time
maintaining high levels of road safety
UK’s effort to regulate
Autonomous Driving
The Automated and Electric Vehicles
Bill 2017 is an important step towards
a comprehensive Autonomous Driving legislation.
The bill states that:
“A vehicle is ‘driving itself’ if it is operating in a mode in which it is not being
controlled, and does not need to be monitored, by an individual.”
The bill thus acknowledges the technical difference between lower level autonomy
(like Tesla’s autopilot) and higher level autonomy designed to let the driver shift
attention elsewhere (like the recently proposed Audi Traffic Jam Pilot). This legal
differentiation is the basis for the driver legally being able to shift attention
away from steering the vehicle.
The legislative “trade-off”
Legislators have to balance the need for
public testing of a not entirely safe
technology and the desire to protect the
people in public spaces
Source: h&z research
USA as the leader in the Americas
California, Nevada, Michigan & Florida
posses reasonable regulated testing
frameworks. Arizona is the first state ever to
allow for testing without any driver present in
the car. Nonetheless, some states still do not
fully embrace AD technology testing
Singapore & Dubai as key in Middle
East and Asia
The two city states see Autonomous
technology as a key technology of their future.
Both have very open legislation for testing
and heavily subsidize different projects.
Diverse legislation in Europe
Although some governments are still skeptical
about AD (Italy for instance), others have
made great steps to position themselves as a
future hot spot for this technology. Among
these are The Netherlands, UK, Sweden, and
Germany.
New Zealand as hidden champion
While there is a limited number of testing
efforts, New Zealand has established a
variety of pro-active regulations allowing for
safe, yet applicable testing.
6. Slide 6h&z Autonomous Driving Roadmap 2017_2018.pptx
Technology – overview of modules and main players
Data processing, analysis and storage have been a dynamic area in 2017, some sensor
technologies are maturing, leading to a push for scale and standards
Technological Maturity Market attractiveness
LiDAR Cloud
and Live Data
Microelectro-
mechanical system
sensors
Motion SensorsUltrasonic HD Maps and
Stationary Data
Radar CPU
and GPU
Cameras
and image sensors
AI and
Deep Learning
5
1 2 3 4
6 7 8 9 10
1
4
3
5
2
8
7
6
10
9
Source: h&z research
7. Slide 7h&z Autonomous Driving Roadmap 2017_2018.pptx
Technology – current roadblocks
All of the players involved in AD technology are currently trying to tackle a number of
potential roadblocks
Weather conditions Cybersecurity
Isolated
R&D efforts Lane markings Hardware & Sensors
Scene
understanding
Human interaction
Complex
environment Cliffs and mountains
Interaction with law
enforcement Local idiosyncrasies Broken traffic lights
Any water from rain, snow or
fog fragments laser-based
sensors, leading to “noise” in
the system
Several incidents show that
connected cars are vulnerable
for attacks. It is still to be seen
how hacker-safe AVs will be
Given the different hardware
set-ups of the different test
vehicles, the software is
hardly transferable across
different models.
Consequently, scalability of
testing results remains limited
Unclear, dirty or missing lane
markings still cause trouble for
the Autonomous Driving AIs.
AD requires a flawless street
infrastructure in order to avoid
malfunctioning
There currently is no ideal
hardware set-up for sensors.
Some sensors, such as
LiDAR are still too expensive
for volume production
While object detection works
quite well already, making
sense of objects and
supporting decisions is still
difficult
Certain crossroads or merging
into rapidly flowing traffic often
requires humans to establish
eye contact; the search for
machine audio-visual
alternatives is still difficult
The environment of (urban)
public roads is extremely
complex; programming for
every possible scenario is a
tedious task. Any incident that
has not been anticipated in
the code can have severe
consequences
Cliffs are sometimes hard to
detect leading to risks
of falling off or coming too
close to the edge
Correctly understanding
spoken word or signs from law
enforcement or highway
safety employees is still
difficult
Volvo admits its self-driving
cars are still confused by
Kangaroos. The world is full of
local contingencies which
need to be managed
Distinguishing broken traffic
lights from working ones is
some-times hard to do. But
this is mostly a question of
training the AI adequately
Source: h&z research
8. Slide 8h&z Autonomous Driving Roadmap 2017_2018.pptx
M&A and Start-ups
2017 saw a further increase in M&A investment, around a quarter of deals was centered
on AI and Deep Learning
Mobileye
Mobileye, a key player in computer vision,
machine learning and mapping, was acquired
by Intel in 2017 for approximately US$ 10 bn
2017
AI, Deep Learning and
Connected Car applications were
the hottest M&A topics
Year
Investmentreceived
Zoox
Zoox offers autonomous taxi services
Nauto
Nauto is an autonomous vehicle
technology system that offers an artificial
intelligence-powered connected camera
network and smart cloud system
Quanergy
Another key provider of sensors such as
LiDAR. Among others, the key investors
thus far are Daimler, Delphi, and Samsung
Brain Corp
Focuses on robots and autonomous
machines for use in a number of
consumer-focused applications. The
investment was led by Softbank’s Vision
Fund
Velodyne
Another key provider of sensors such as
LiDAR. Key investors include Daimler,
Delphi, and Samsung
Split of clusters 2017
AI and Deep Learning 24%
Connected Car/ V2V
& V2X
16%
Autonomous Vehicle
Manufacturers
10%
Drones and UAVs 9%
Various Sensors 8.5%
LiDAR 7.9%
Robotics and
Automation
7.6%
Simulation and Data
Processing
5.9%
Cybersecurity 5.4%
Signal processing 3.4%
Mapping 1.1%
Source: Quid, h&z analysis
9. Slide 9h&z Autonomous Driving Roadmap 2017_2018.pptx
The Human Factor
Consumer acceptance and adoption of autonomous driving is in early stages, a concerted
push is necessary to speed up the process
Human interaction with autonomous vehicles
Simulation tests conducted by the UK-based Transport
Research Laboratory show that drivers are more likely
to conduct risky maneuvers if they know the other car is
controlled by a computer. The research found that drivers
may “adapt their behavior as autonomous vehicles
become more prevalent”
How can we speed up consumer acceptance and push adoption of
autonomous driving?
In order to push the adoption of
the new technology, consumers
can be influenced using these 9
levers:
Source: h&z research
Current adoption stage
2.5% 13.5%
Early
Majority
Late
Majority
Laggards
Innovators
EarlyAdopters
34% 34% 16% 1. Stress advantages and benefits of AD
2. Make sure benefits materialize immediately
3. Minimize the risk of purchasing AD cars/features
4. Optimize ease of use
5. Ensure benefits are observable to others
6. Provide ample opportunity for trialing AD cars/features
7. Adjust prices to prevent barriers to purchasing
8. Minimize the need for customer behavioral change
9. Promote return on investment
10. Slide 10h&z Autonomous Driving Roadmap 2017_2018.pptx
General technology
Future urban mobility and society
Uber, Lyft, Waymo and GM
Sensors & Software
Levels of Autonomy & Autonomous
Features
Apple
Insurance
Nvidia
Tencent and other
Chinese efforts
Consumer readiness
TomTom HD Maps
BMW, Intel
& Mobileye
Impact
Sentiment
Combined
Score
(Mean)
US legislation
The Human Factor – press coverage in 2017
The currently low consumer acceptance is fueled by mixed coverage in the media – future
fatal accidents could have a significant negative impact on public opinion
“There are huge unknowns in the technology,
vehicle safety, driver capability, application of
state laws, insurance, public acceptance and how
many lives might be saved.”
Market forecasts
Positive coverage Negative coverage
Intel acquires Mobileye
UK efforts and legislation
Baidu’s efforts
Fiat Chrysler
Korean firms & legislation
Impact: LargeMediumSmallSource: Quid; h&z analysis
11. Slide 11h&z Autonomous Driving Roadmap 2017_2018.pptx
Potential business models
Initial business models have already been implemented or are undergoing intensive
testing, many future business models are difficult to predict but could be groundbreaking
Short lead time
Uber, Didi Chuxing, Lyft and co.
are planning on providing mobility-as-a-
service, moving millions of people with
autonomous, efficiently managed fleets
The luxury option
Autonomous driving features are
going to be subsequently rolled out in
the premium car segments, for
instance Audi’s traffic jam function
which has been deployed in the new
A8
Commercial and
private delivery services
E.g. automated food/goods delivery
The “buses” of the future
Governmental public transport might
incentivize the usage of autonomous
transport options instead of existing public
transport options
First tests in Dubai
have proven the technical
feasibility of autonomous flying
vehicles. Several players are
currently trying to scale up the
technology
Extension of existing business model
Radical new mobility model
Autonomous
MoD fleets
Autonomous
features in
privately owned cars
Long lead time
Use case in
special vehicles
Public
Transportation
Air-based
personal
transport
GROUNDBREAKING DISRUPTIVE
CONSERVATIVE LOW ENTRY BARRIER
A privately owned
car stands still 23h
a day on average1)
We could generate
the biggest value-
add by reducing this
time and by using
cars more efficiently
– This is what most
current disruptive
mobility models
build on
Source: h&z research, 1) Wissenschaftszentrum Berlin für Sozialforschung (WZB) Market size: LargeMediumSmall
Amusement parks,
University campuses,
large corporate venues
Several companies
offer such services today
Warehouse and
back-end logistic
services, agricultural
tasks, construction sites
Hamburg Port logistics
Private area
fixed route
operations
Industrial area
applications
12. Slide 12h&z Autonomous Driving Roadmap 2017_2018.pptx
h&z Autonomous Driving Roadmap Outlook 2018
2018 will see incremental progress in all relevant areas, with a potential leap in the human
factor due to large-scale tests and roll-out of features in luxury cars
Area
Testing
Stage
III
Early Stage Ready for
Implement
action
Proven
Scalability
I II IV
Legal
Framework
Technology
M&A and
Start-ups
The Human
Factor
Potential
Business
Models
It is too early in the year to anticipate, which technological roadblock
will be removed first. Solid state LiDAR technology is receiving
substantial research funding and could lead to a dramatic drop in
cost
There are no signs of start-up activity and M&A by various old and
new players to abate. It is worthwhile watching out for new, surprising
business models to emerge
Large scale tests with potential end users will give a wider audience
access and understanding of autonomous driving, new features in
luxury cars will be rolled out which will also help to promote the
benefits of the new technology
New business models will emerge at the intersection of different,
currently separated, spheres, such as connected cars and smart
cities
Source: h&z research
It is highly likely, that additional governments will draft legislation
furthering autonomous driving, potentially creating a ripple effect
globally
Milestones
2017 2018
2017 2018
2017 2018
2017 2018
2017 2018