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FinalPresentation
Presenter : M.Shafi Ullah
Presented To : Miss. Hajra Durrani
Subject : Oral Communication
ID 6543

GOOGLE DRIVERLESS CAR
Google Driverless Car
CONTENTS:
Google Driverless Car
 Introduction.
 History.
 Components.
 Advantages & Disadvantages.
 How does it work ?
Conclusion.
Google Driverless Car
INTRODUCTION:
What is a Google driverless car ?
It is a vehicle that can drive itself from one point to
another without assistance from a driver; in other words,
with an autopilot system.
Google Driverless Car
Google Driverless Car
continued
 The Google Driverless Car is like any car, but:
 It can steer itself .
 It can accelerate itself to the correct speed limit.
 It can stop and go itself based on any traffic condition.
 It can take its passengers anywhere it wants to
go safely, legally, and comfortably.
Google Driverless Car
Google Driverless Car
HISTORY:
Google's self-driving car project was started in 2009.
The project is currently being led by:
Sebastian Thrun.
 Director of the Stanford Artificial Intelligence
Laboratory.
 Co-inventor of Google Street View.
Google Driverless Car
Google Driverless Car
COMPONENTS:
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.
Google Driverless Car
GOOGLEMAP:
Google Driverless Car
 Speed Limits.
 Upcoming intersections.
 Traffic Report.
 Nearby collisions.
 Directions.
Google Maps interacts with GPS and acts like a
database.
Google Driverless Car
HARDWARE SENSORS:
 The hardware sensors give real time environmental properties.
 Environment is dynamic so need real time results.
 Sensors attempt to create fully observable environment.
Google Driverless CarGoogle Driverless Car
Google Driverless Car
ARTIFICIALINTELLIGENCE:
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.
Google Driverless Car
5/11/2018 11
3 4
21
Google Driverless Car
Advantages
Managing traffic flow to increase road capacity.
To avoid accidents .
Increasing roadway capacity by reducing the distances between cars.
The current location of vehicle can be determine using global positioning system
(G.P.S)
Google Driverless Car
Google Driverless Car
Disadvantages
If the vehicle is using internet which has less security from
the hackers point of view in some cases the vehicle can be
switched off on the road(in rare cases).
Hackers can change the rout which is plotted in the
system(in rare cases).
In case of failure of main sensor and backup sensors the
vehicle can create a chance of accident.
Google Driverless Car
5/11/2018
Google Driverless Car
14
Google Driverless Car
LIDAR
 “Heart of the system“
 LIDAR (Light Detection And Ranging) is an optical remote
sensing technology that can measure the distance.
 Scanning distance of 60 meters (~197 feet).
VIDEO CAMERA
 Mounted near the rear-view mirror, the camera detects
traffic light and any objects.
Google Driverless Car
Google Driverless Car
DISTANCESENSOR
 Four radars, three in front bumper and one in the rear bumper,
measure distances to various obstacles and allow the system to
reduce the speed of the car.
POSITION ESTIMATOR(Wheel Encoder)
A sensor mounted on the left rear wheel measures lateral
movements and determines the car's position on the map.
Google Driverless Car
Google Driverless Car
Conclusion
The driver less car’s technologies improves vehicle's stability and helps to
minimize loss of control.
Driver less cars are designed to minimize accidents by addressing the main
causes of collisions: driving error, distraction and drowsiness.
It will follow the traffic rules and regulations.
Google Driverless Car
THANK
YOU…
Any Question
????
Google Driverless Car

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Google Driverless Car Presentation

  • 1. FinalPresentation Presenter : M.Shafi Ullah Presented To : Miss. Hajra Durrani Subject : Oral Communication ID 6543
  • 3. CONTENTS: Google Driverless Car  Introduction.  History.  Components.  Advantages & Disadvantages.  How does it work ? Conclusion. Google Driverless Car
  • 4. INTRODUCTION: What is a Google driverless car ? It is a vehicle that can drive itself from one point to another without assistance from a driver; in other words, with an autopilot system. Google Driverless Car
  • 5. Google Driverless Car continued  The Google Driverless Car is like any car, but:  It can steer itself .  It can accelerate itself to the correct speed limit.  It can stop and go itself based on any traffic condition.  It can take its passengers anywhere it wants to go safely, legally, and comfortably. Google Driverless Car
  • 6. Google Driverless Car HISTORY: Google's self-driving car project was started in 2009. The project is currently being led by: Sebastian Thrun.  Director of the Stanford Artificial Intelligence Laboratory.  Co-inventor of Google Street View. Google Driverless Car
  • 7. Google Driverless Car COMPONENTS: 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. Google Driverless Car
  • 8. GOOGLEMAP: Google Driverless Car  Speed Limits.  Upcoming intersections.  Traffic Report.  Nearby collisions.  Directions. Google Maps interacts with GPS and acts like a database. Google Driverless Car
  • 9. HARDWARE SENSORS:  The hardware sensors give real time environmental properties.  Environment is dynamic so need real time results.  Sensors attempt to create fully observable environment. Google Driverless CarGoogle Driverless Car
  • 10. Google Driverless Car ARTIFICIALINTELLIGENCE: 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. Google Driverless Car
  • 12. Google Driverless Car Advantages Managing traffic flow to increase road capacity. To avoid accidents . Increasing roadway capacity by reducing the distances between cars. The current location of vehicle can be determine using global positioning system (G.P.S) Google Driverless Car
  • 13. Google Driverless Car Disadvantages If the vehicle is using internet which has less security from the hackers point of view in some cases the vehicle can be switched off on the road(in rare cases). Hackers can change the rout which is plotted in the system(in rare cases). In case of failure of main sensor and backup sensors the vehicle can create a chance of accident. Google Driverless Car
  • 15. Google Driverless Car LIDAR  “Heart of the system“  LIDAR (Light Detection And Ranging) is an optical remote sensing technology that can measure the distance.  Scanning distance of 60 meters (~197 feet). VIDEO CAMERA  Mounted near the rear-view mirror, the camera detects traffic light and any objects. Google Driverless Car
  • 16. Google Driverless Car DISTANCESENSOR  Four radars, three in front bumper and one in the rear bumper, measure distances to various obstacles and allow the system to reduce the speed of the car. POSITION ESTIMATOR(Wheel Encoder) A sensor mounted on the left rear wheel measures lateral movements and determines the car's position on the map. Google Driverless Car
  • 17. Google Driverless Car Conclusion The driver less car’s technologies improves vehicle's stability and helps to minimize loss of control. Driver less cars are designed to minimize accidents by addressing the main causes of collisions: driving error, distraction and drowsiness. It will follow the traffic rules and regulations. Google Driverless Car