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RoadAR v.2.0 english
- 3. In most cases navigation systems have outdated
cartography
Relevance of some maps at «Leninskaya» dam, Kazan
Navitel
Yandex
OpenStreetMaps
~ 6-8 months
~ 4-6 months
~ 2 months
(“people’s” map ~ 1,5 months)
The main problem is manual data input.
© Eugeniy Nikolskiy, 10.2013. v.2.0
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- 4. Navigator’s hints are useless on the complicated
road interchanges
© Eugeniy Nikolskiy, 10.2013. v.2.0
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- 5. Sometimes car drivers aren't sure if they’ve
missed a road sign or not
I often doubt before
overtaking
© Eugeniy Nikolskiy, 10.2013. v.2.0
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- 6. There is no any navigator system with 100% relevant
information from the roads.
Truckers use radio connection and always
keep each other informed. There is no
community like that for usual drivers.
© Eugeniy Nikolskiy, 10.2013. v.2.0
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- 7. There is no any mobile application on the market,
that have all drivers needed features
We decided to create it!
Meet RoadAR
© Eugeniy Nikolskiy, 10.2013. v.2.0
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- 8. DVR
Recording video with short fragments
Fragment is marked as “not to delete” when system gets signal from accelerometer (in case of
car accident or road bump). Other fragments could be deleted when memory is full.
GPS refinement via video analyzing
We are going to make GPS tracks more accurate using visual odometry and data from sensors of
modern smartphone (accelerometer, compass, gyroscope).
© Eugeniy Nikolskiy, 10.2013. v.2.0
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- 9. Automatic map creation
IMPORTANT: Having accurate GPS data and frames from the
video (shot with measured coordinates), we can calculate
the coordinates of any object that entered the camera
field of view!
© Eugeniy Nikolskiy, 10.2013. v.2.0
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- 10. Example of the road sign coordinates detection
A road sign on the two video frames (with
known coordinates of a survey)
Calculated road sign’s
coords
Shooting points of
two frames
Map data © Google Maps
Cameras of user`s smartphones will help us to create a road signs map of the whole
world. Crowdsourcing in action.
© Eugeniy Nikolskiy, 10.2013. v.2.0
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- 11. Automatic map creation
Why do we need this?
Automatic map creation
Map is going to be very accurate (mapping is based on the exact tracks).
Automatic road signs recognition and placing to the map
Also buildings and other objects.
Roads quality map
Detecting cracks, potholes and bumps with accelerometer
Gathering BIG DATA
Users routes, billboards images, gas stations prices etc.
© Eugeniy Nikolskiy, 10.2013. v.2.0
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- 12. Navigation
Computing optimized routes
Actual for every moment due to system capability to track all changes
Applying the route directly on the video
Augmented Reality in action
Traffic jams map
Using not only drivers tracks to determine traffic speed, but also DRV data.
Opposite traffic
speed: 10 km/h
Direct traffic speed:
40 km/h
© Eugeniy Nikolskiy, 10.2013. v.2.0
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- 13. Radio
Users can communicate, hearing each other within a
certain radius.
System defines distance between users with GPS-data.
Within radius
Out of range
© Eugeniy Nikolskiy, 10.2013. v.2.0
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- 14. Radio
Exchange GPS points and routes.
It is much easier to point the place rather than explaining how to get there.
Car drivers are forming a community.
We create a social network on the road. People in the cars will be more polite to each other. Rating will
make the network become self-managed.
Map data © OpenStreetMap contributors
© Eugeniy Nikolskiy, 10.2013. v.2.0
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- 16. Monetization
Processing the video from thousands of smartphones
we can collect extensive database of traffic information: roads
quality, billboards along the roads, prices at the gas stations,
traffic information, road signs etc. This information is needed by
many businesses and government.
Knowing the people movements by their tracks, we will be able to
become a platform for geo-targeted advertising for local
businesses.
© Eugeniy Nikolskiy, 10.2013. v.2.0
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- 17. Market
Mobile advertising market
30
20
10
billion $
0
2012
2013
2014
2015
2016
Mobile advertising market in 2016 will exceed $ 30 billion globally (in Russia $ 215 million). The world
market of the augmented reality applications will exceed $ 4 billion (in Russia $ 109 million). Number of
downloads of each from top-level applications of the AR and video recording is about 50 million.
© Eugeniy Nikolskiy, 10.2013. v.2.0
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- 18. Competitors
RoadAR Wikitude
Voice messaging
Text messaging
Navigation
Up-to-date maps
AR
Geo-targeted advertising
Audio advertising
AR-navigation
Target audience - drivers
Layar
Sygic
Waze
Navitel
Yandex
Zello
AlterGeo
Talkbits
© Eugeniy Nikolskiy, 10.2013. v.2.0
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- 19. Team
1.
Eugeniy Nikolskiy. CEO, founder.
2 years in Game Development exp. (Space Rangers 2, Art Mogul), 3 years as Regional Director in federal company, 8 years in 3D
(modelling & programming). Math skills, marketing. High education: automated systems.
2.
Marat Bashlikov. COO, founder.
8 years in business, 3 years as Business Development Director in federal company. Marketing, math skills. Kazan Federal
University, sociologist, lecturer of social sciences.
3.
Andrey Chernih. CTO, founder.
3 years at own software-outsourcing company (metastudiohq.com), 6 years in software development. High education: automated
systems.
4.
5.
6.
Foat Akhmadeev. Computer vision.
Sayid Kadyrov. UI/UX designer.
Alexander Cherkasov. Visual odometry.
© Eugeniy Nikolskiy, 10.2013. v.2.0
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