The document discusses the development of Google’s driverless car, highlighting its components and the integration of artificial intelligence with various sensors and Google Maps for navigation. It outlines the advantages of autonomous vehicles, such as improved fuel efficiency and reduced traffic collisions, while also mentioning potential disadvantages like job loss for taxi drivers and the need for well-maintained roads. The project, led by Sebastian Thrun, aims to create a safer and more efficient transportation system through advanced technology.

1. Guided by:- Prof N.S.Achwalkar
Lecturer of mechanical department

2. Presented by :-
shubham chaugale

3. Abstract
Introduction
 Components
Working
 Action
Advantage
Disadvantage
Conclusion
Reference

4.  From the invention of the car there is a great relation between
human and car. Because by the invention of the car the automobile
industry was established, by this car the traveling time from one
place to another place is reduced. The car brings royalty from the
invention.
 As cars are coming on roads at that time there are so many
accidents are occurring due to lack of driving knowledge & drink
driving and soon, In that view only the Google took a great project,
i.e. Google Driverless Car in these the Google puts the technology
in the car, that technology was Artificial Intelligence with Google
map view.
 The input video camera was fixed beside the front mirror inside
the car, A LIDAR sensor was fixed on the top of the vehicle, RADAR
sensor on the front of the vehicle and a position sensor attached
to one of the rear wheels that helps locate the cars position on the
map, The Computer, Router, Switch, Fan, Inverter, rear Monitor,
Topcon, Velodyne, Applanix and Battery are kept inside the car.

5.  These all components are connected to
computer’s CPU and the monitor is fixed on
beside of the driver seat, these we can observe
in that monitor and can operate all the
operations.

6.  The Google Driverless Car is like any car, but:
 It can steer itself while looking out for
obstacles.
 It can stop and go itself based on any traffic
condition.
 It is a combination of different technologies
developed by Google
 That will allow a car to drive itself even on the
highway .

7. The project is currently
being led by: Sebastian
Thrun.
 Director of the
Stanford Artificial
Intelligence Laboratory
 2005 DARPA Grand
Challenge
Winner
 Co-inventor of Google
Street View

8.  Uses Google map, sensors, artificial intelligence
 Lidar produced detailed map of the environment
 Car uses white stripes on road to know lanes
 360 degree motion sensor and cameras to sense
 Control of the car still exist
 Sensors pushing data into main computer to process
information.

9.  Integrates Google Maps with various hardware sensors
and artificial intelligence software
 Google Maps
 Provides the car with road information
 Hardware Sensors
 Provides the car with real time environment conditions
 Artificial Intelligence
 Provides the car with real time decisions

10. Google Maps interacts with GPS
and acts like a database.
 Speed Limits.
 Upcoming
intersections.
 Traffic Report.
 Nearby collisions.
 Directions.

11. The hardware sensors gives real time
environmental properties.
Environment is dynamic so need real
time results.
Sensors attempt to create fully
observable environment.

12. LIDAR
VIDEO CAMERA
POSITION ESTIMATOR
DISTANCE SENSOR

14. “Heart of our system“
 LIDAR is an optical remote sensing technology
Measure the distance to, or other properties of a
target
It often using pulses from a laser.
Scanning distance of 60 meters (~197 feet)

15. VIDEO CAMERA
 Detects upcoming traffic light.
Recognizing moving obstacles like pedestrians
and vehicles
DISTANCE SENSOR
 Allow the car to "see" far enough to detect
nearby or upcoming cars or obstacles
It also contain radar

16. Determines vehicle's location and keeps track of its
movements.
GPS is a space based satellite navigation system that
provide location and time information
It is maintained by the US government
It freely accessible by anyone with a GPS receiver.

17.  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

18.  The motors are first have to be installed
 Apply pressure to both accelerator, brake pedals and
turn the wheels
 Motor receiving instructions from computer
 Lidar used to detect objects and distance
 video cameras detect traffic light
 Control of the car would still exist

19. A look from the inside... A look from the outside...

20.  Improved fuel efficiency.
 It will be of great help to people who are physically
challenged.
 Higher speed limit for autonomous cars.
 Reduction of space required for vehicle parking.
 Fewer traffic collision .

21. So many taxi drivers can lose their jobs.
It steals driving pleasure from drivers who
love it.
It requires that the road are in good
condition and follows a strict traffic system.

22.  Very useful .
 Avoid accidents on the road
 Reduce the traffic time at traffic signal
 So many taxi drivers can loss their job
 Vehicles could be ready for market in as
little as three to five years.

23.  John Markoff (2010-10-09). "Google Cars Drive
Themselves, in Traffic". The New York Times. Retrieved
2010-10-11
 http://en.wikipedia.org/wiki/John_Markoff
 "Nevada enacts law authorizing autonomous (driverless)
vehicles". Green Car Congress. 2011-06-25. Retrieved
2011-06-25
 http://www.greencarcongress.com/2011/06/ab511-
20110625.html
 Alex Knapp (2011-06-22). "Nevada Passes Law
Authorizing Driverless Cars". Forbes. Retrieved 2011-06-
25.