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 Introduction
 What is Driverless Car ?
 History
 Component
 Action
 Technology
 Advantages
 Disadvantages
 Conclusion
 Reference
 Driver error is the most common cause of
Traffic Accidents.
 Cell phones in Car, entertainment system,
more traffic and more complicated road
systems making it more frequent.
 By this improving technology Google car will
do the concentrating us.
 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.
 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
Integrates Google Maps with various hardware
sensors and artificial intelligence software
 Google Maps
 Hardware Sensors
 Artificial Intelligence
 Google Maps interacts with GPS & Acts like
a database.
› Speed Limits
› Upcoming Intersection
› Traffic Report
› Nearby collisions
› Directions
 The hardware sensors gives real time
environment properties.
 Environment is dynamic so need real time
results.
 Sensors attempt to create fully observable
environment.
 LIDAR
 VIDEO CAMERA
 POSITION ESTIMATOR
 DISTANCE SENSOR
 Google Maps and the hardware sensors
data are sent to the AI.
 The agent’s goal is take the passenger to its
desired destination safely and legally.
 A look from the inside…….
 A look from the outside…..
 Anti-lock brakes (ABS)
 Electronic stability control (ESC)
 Cruise Control
 Self Parking
 Automated Guided Vehicle Systems
 A computerized technology improves vehicle’s
stability by detecting & minimizing skids.
 Automatically applies the brakes.
 Helps to minimize a loss of control.
 ESC compares the driver’s intended direction to
the vehicle’s actual direction.
 Cruise control keeps the car at a constant
speed by taking over the throttle of the car
 It also maintain a set distance between it and
the car in front of it
 Managing traffic flow to increase read
capacity.
 Quick reaction time.
 To avoid accidents.
 Increasing roadway capacity by reducing the
distances between cars.
 The current location of vehicle can be
determine using GPS.
 Hackers can change the rout.
 In case of failure of main sensor and backup
sensors the vehicle can create a change of
accident.
 Expensive software.
 The driver less car’s technologies improves
vehicle's stability 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.
 http://en.wikipedia.org/wiki/Google_driverless_car
 http://www.popsci.com/cars/article/2013-09/google-self-
driving-car
 http://autocontrols.com.au/
 http://www.howstuffworks.com/cruise-control
 http://www.howstuffworks.com/electronic-stability-
control
Google DRiverLess Car.ppt

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Google DRiverLess Car.ppt

  • 1.
  • 2.
  • 3.  Introduction  What is Driverless Car ?  History  Component  Action  Technology  Advantages  Disadvantages  Conclusion  Reference
  • 4.  Driver error is the most common cause of Traffic Accidents.  Cell phones in Car, entertainment system, more traffic and more complicated road systems making it more frequent.  By this improving technology Google car will do the concentrating us.
  • 5.
  • 6.  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.
  • 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. Integrates Google Maps with various hardware sensors and artificial intelligence software  Google Maps  Hardware Sensors  Artificial Intelligence
  • 9.  Google Maps interacts with GPS & Acts like a database. › Speed Limits › Upcoming Intersection › Traffic Report › Nearby collisions › Directions
  • 10.  The hardware sensors gives real time environment properties.  Environment is dynamic so need real time results.  Sensors attempt to create fully observable environment.
  • 11.  LIDAR  VIDEO CAMERA  POSITION ESTIMATOR  DISTANCE SENSOR
  • 12.
  • 13.  Google Maps and the hardware sensors data are sent to the AI.  The agent’s goal is take the passenger to its desired destination safely and legally.
  • 14.  A look from the inside…….
  • 15.  A look from the outside…..
  • 16.  Anti-lock brakes (ABS)  Electronic stability control (ESC)  Cruise Control  Self Parking  Automated Guided Vehicle Systems
  • 17.  A computerized technology improves vehicle’s stability by detecting & minimizing skids.  Automatically applies the brakes.  Helps to minimize a loss of control.  ESC compares the driver’s intended direction to the vehicle’s actual direction.
  • 18.  Cruise control keeps the car at a constant speed by taking over the throttle of the car  It also maintain a set distance between it and the car in front of it
  • 19.
  • 20.  Managing traffic flow to increase read capacity.  Quick reaction time.  To avoid accidents.  Increasing roadway capacity by reducing the distances between cars.  The current location of vehicle can be determine using GPS.
  • 21.  Hackers can change the rout.  In case of failure of main sensor and backup sensors the vehicle can create a change of accident.  Expensive software.
  • 22.  The driver less car’s technologies improves vehicle's stability 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.
  • 23.  http://en.wikipedia.org/wiki/Google_driverless_car  http://www.popsci.com/cars/article/2013-09/google-self- driving-car  http://autocontrols.com.au/  http://www.howstuffworks.com/cruise-control  http://www.howstuffworks.com/electronic-stability- control