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Google
Self Driving Car
Presented By:
Mohit (13ESKCS722)
CONTENTS:-
 Introduction
 Technology
 Main features
 Components
 Advantages
 Disadvantages
 Comparison
 Conclusion
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.
Technology :-
• Google's robotic cars have about $150,000
in equipment including a $70,000 LIDAR
system. The range finder mounted on the
top is a Velodyne 64-beam laser.
• This laser allows the vehicle to generate a
detailed 3D map of its environment. The
car then takes these generated maps and
combines them with high-resolution maps
of the world, producing different types of
data models that allow it to drive itself.
Main Features :-
 LiDAR (Light Detection
and Ranging)
 Top camera
 Side and front radars
 Lasers
 GPS and highly
accurate maps
 Two motors for override
driving
 Emergency seat belt
 Slows down/stops when
it detects possible
hazards
How does it work ?
• Powered by an electric motor with around a 100 mile
range, the car uses a combination of sensors and
software to locate itself in the real world combined
with highly accurate digital maps.
• A GPS is used, just like the satellite navigation
systems in most cars, to get a rough location of the
car, at which point radar, lasers and cameras take
over to monitor the world around the car, 360-degrees.
• The software can recognise objects, people, cars, road
marking, signs and traffic lights, obeying the rules of
the road and allowing for multiple unpredictable
hazards, including cyclists. It can even detect road
works and safely navigate around them
Components :-
 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
1. Google Maps :-
 Google Maps interacts with GPS and acts like
a database.
 Speed Limits.
 Upcoming intersections.
 Traffic Report.
 Nearby collisions.
 Directions.
2. Hardware
Sensors :-
 Sensors attempt to create fully
observable environment
 The hardware sensors give real
time environmental properties.
 Its further Components:
• 1. LIDAR
• 2. VIDEO CAMERA
• 3. POSITION ESTIMATOR
• 4. DISTANCE SENSOR
LIDAR :-
 “Heart of the system“
 LIDAR stands for Light Detection And Ranging
 It is an optical remote sensing technology
 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)
Central Computer :-
• Information from all the sensors
is analysed by a central
computer that manipulates the
steering, accelerator and
brakes. Its software must
understand the rules of the road
both formal and informal.
• Based on the information
received the software takes self
driving decisions.
Automotive Night Vision :-
• This system uses a
thermographic camera to
increase 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
Orientation
sensors :-
• Similar to the way a
person’s inner ear gives
them a sense of motion
and balance, this
sensor located in the
interior of the car
works to give the car a
sense of orientation.
3. Artificial
Intelligence
• 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
How safe it is?
• The car itself is limited to
25 mph, which restricts it
to certain roads, but also
minimises the kinetic
energy it could carry into
a crash if one should
happen.
• The front of the car is also
made to be as kind to
pedestrians as possible
with a foam bumper and a
flexible windscreen that is
designed to absorb energy
from an impact with a
person’s body.
Advantages :-
• Avoid accidents.
• Current location can be
easily identified by GPS.
• Manage traffic Flow.
• Increasing Roadway
capacity.
Disadvantages :-
• 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
sensor and backup sensor
the vehicle can create
chances of accidents
Comparison with other cars :-
Conclusion :-
• The driverless car’s
technologies improve
vehicle's stability helps to
minimize loss of control.
• Driverless cars are designed
to minimize accidents by
addressing the main causes
of collisions: driving error,
distraction and drowsiness.
Google car ppt

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Google car ppt

  • 1. Google Self Driving Car Presented By: Mohit (13ESKCS722)
  • 2. CONTENTS:-  Introduction  Technology  Main features  Components  Advantages  Disadvantages  Comparison  Conclusion
  • 3. 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.
  • 4.
  • 5. Technology :- • Google's robotic cars have about $150,000 in equipment including a $70,000 LIDAR system. The range finder mounted on the top is a Velodyne 64-beam laser. • This laser allows the vehicle to generate a detailed 3D map of its environment. The car then takes these generated maps and combines them with high-resolution maps of the world, producing different types of data models that allow it to drive itself.
  • 6. Main Features :-  LiDAR (Light Detection and Ranging)  Top camera  Side and front radars  Lasers  GPS and highly accurate maps  Two motors for override driving  Emergency seat belt  Slows down/stops when it detects possible hazards
  • 7. How does it work ? • Powered by an electric motor with around a 100 mile range, the car uses a combination of sensors and software to locate itself in the real world combined with highly accurate digital maps. • A GPS is used, just like the satellite navigation systems in most cars, to get a rough location of the car, at which point radar, lasers and cameras take over to monitor the world around the car, 360-degrees. • The software can recognise objects, people, cars, road marking, signs and traffic lights, obeying the rules of the road and allowing for multiple unpredictable hazards, including cyclists. It can even detect road works and safely navigate around them
  • 8. Components :-  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
  • 9. 1. Google Maps :-  Google Maps interacts with GPS and acts like a database.  Speed Limits.  Upcoming intersections.  Traffic Report.  Nearby collisions.  Directions.
  • 10. 2. Hardware Sensors :-  Sensors attempt to create fully observable environment  The hardware sensors give real time environmental properties.  Its further Components: • 1. LIDAR • 2. VIDEO CAMERA • 3. POSITION ESTIMATOR • 4. DISTANCE SENSOR
  • 11.
  • 12. LIDAR :-  “Heart of the system“  LIDAR stands for Light Detection And Ranging  It is an optical remote sensing technology  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)
  • 13. Central Computer :- • Information from all the sensors is analysed by a central computer that manipulates the steering, accelerator and brakes. Its software must understand the rules of the road both formal and informal. • Based on the information received the software takes self driving decisions.
  • 14. Automotive Night Vision :- • This system uses a thermographic camera to increase 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
  • 15. Orientation sensors :- • Similar to the way a person’s inner ear gives them a sense of motion and balance, this sensor located in the interior of the car works to give the car a sense of orientation.
  • 16. 3. Artificial Intelligence • 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
  • 17. How safe it is? • The car itself is limited to 25 mph, which restricts it to certain roads, but also minimises the kinetic energy it could carry into a crash if one should happen. • The front of the car is also made to be as kind to pedestrians as possible with a foam bumper and a flexible windscreen that is designed to absorb energy from an impact with a person’s body.
  • 18. Advantages :- • Avoid accidents. • Current location can be easily identified by GPS. • Manage traffic Flow. • Increasing Roadway capacity.
  • 19. Disadvantages :- • 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 sensor and backup sensor the vehicle can create chances of accidents
  • 21. Conclusion :- • The driverless car’s technologies improve vehicle's stability helps to minimize loss of control. • Driverless cars are designed to minimize accidents by addressing the main causes of collisions: driving error, distraction and drowsiness.