use where you want

4. THE SOLUTION
FORTHIS
IS…….

6. Contents
Introduction
History
Technology involved
Block diagram
Components
Advantages
Disadvantages
Conclusion
Adoption challenges
Future implication

7. Introduction
The Google Driverless Car is like any car, but:
It can steer itself while looking out for obstacles.
It can accelerate itself to the correct speed limit.
It can stop and go itself based on any traffic condition.

8. The project is currently being
led by: Sebastian Thrun.
Director of the Stanford
Artificial Intelligence
Laboratory.
Co-inventor of Google
Street View.

9. Block diagram of automated car

10. Devices involved

11. Google Maps
Wheel speed sensors
Radars
LIDAR
VIDEO CAMERA
POSITION ESTIMATOR
DISTANCE SENSOR
Automotive Night Vision
Artificial Intelligence

12. Provides the car with road
information.
Google Maps interacts with
GPS and acts like a database.
Speed Limits.
Upcoming intersections.
Traffic Report.
Nearby collisions.
Directions.

14. Radars

15. “Heart of the system“
LIDAR stands for Light Detection And
Ranging.
It can measure the distance to, or other
properties of a target by illuminating the
target with light.
Scanning distance of 60 meters (~197 feet).

16. VIDEO CAMERA
Detects upcoming traffic light.
DISTANCE SENSOR
Allow the car to "see" far enough to detect
nearby or upcoming cars or obstacles.
POSITION ESTIMATOR(Wheel Encoder)
Determines vehicle's location and
keeps track of its movements.

17. Increases vehicle driver’s perception and seeing distance in
darkness and poor weather conditions. Even those
distances which are beyond the reach of vehicle’s
headlight.

18. Google Maps and the hardware sensors
data are sent to the AI.
AI then determines:
how fast to accelerate
when to slow down/stop
when to steer the wheel
Goal of AI
The agent's goal is to take the passenger to
its desired destination safely and legally.

19. Central processor of a AUTOMATED
CAR

20. TECHNOLOGIES MAKING A SYSTEM FULLY
AUTONOMOUS
Anti-lock brakes(ABS)
Electronic stability control
(ESC)
Cruise control
Lane Departure Warning
System
Self Parking
Automated Guided Vehicle
Systems

21. Avoid accidents.
Current location can be easily identified
by GPS.
Manage traffic Flow.
Smoother ride.
Relief of vehicle occupants from driving
and navigation chores.
Reduction in car theft, due to the
vehicle's self-awareness.

22. If the user is using internet with less security then it can be caught by
the hackers.
Hackers can turn system on or off.
Hackers can change the route.
In case of failure in main senor and backup sensor the vehicle can
create chances of accidents.
Chris Urmson of Google said That the LIDAR technology cannot
spot a police officer signaling car to stop.
The vehicles are unable to recognize temporary traffic signals.
According to Google, projects having these issues fixed by 2020.

23. Adopting Challenges

24. HARD WARE COMPARISON BETWEEN
MAN
&
MACHINE

25.  Automated collision avoidance systems
 Less fatalities
 Avoid human errors
 No sleepy, grumpy, texting humans

26.  Fuel efficient driving
 Saves 10-15% FUEL
 “Eco – friendly”

27.  Closer car-to-car distance
 Less need for building more
road lanes

28.  Elimination of breaks in between
 Lessen the burden of the truck drivers
Taxi industry??

29.  Independentl
y seek
parking
 Demand for
adjacent
parking
decrease
 Conversion
to other land
uses

30. Technology & Maintenance
issues

31. Political & Regulatory Issues
Can “passengers” be drunken?

34. Critical criteria
(in order of
significance)
Wifi Bluetooth
Range 300 feet+ ~30 feet
Security Higher
(if configured properly)
Lower
Interconnectivity
with relevant
stakeholders
Higher
(server/network concept)
Lower
(device-to-device concept)
Cost Higher
(yet acceptable)
Lower
Overall Better Worse

35. The driverless car improves vehicle’s
stability helps to minimize the loss
of control.
Main aim is to minimize the road
accidents.
CONCLUSION