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GOOGLE’S DRIVERLESS CAR
A Technical seminar on
AUDISANAKRA INSTITUTE OF TECHNOLOGY
Department of ECENH-5, BYPASS ROAD, GUDUR, SPSR NELLORE (Dist), Andhra Pradesh- 524101
By
Sai teja madireddy
Sai teja madireddy
Imagine…
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The Best of Both Worlds…….
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Imagine no more…
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Driverless cars proven in a race
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Seeing is believing
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Introduction.
History.
Components.
Current scenario.
Conclusion.
Google’s Driverless car
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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.
It can take its passengers anywhere it wants to
go safely, legally, and comfortably.
INTRODUCTION
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HISTORY:
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
HISTORY
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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
COMPONENTS
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GOOGLE MAP:
Speed Limits.
Upcoming
intersections.
Traffic Report.
Nearby collisions.
Directions.
Google Maps interacts with GPS and acts like a database.
GOOGLE MAP
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HARDWARE SENSORS:
The hardware sensors gives real time
environmental properties.
Environment is dynamic so need real time results.
Sensors attempt to create fully observable
environment.
HARDWARE SENSORS
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HARDWARE SENSORS:
LIDAR
VIDEO CAMERA
POSITION ESTIMATOR
DISTANCE SENSOR
HARDWARE SENSORS
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“Heart of our system“
LIDAR (Light Detection And Ranging, also LADAR) is an
optical remote sensing technology that can measure the
distance to, or other properties of a target by illuminating the
target with light, often using pulses from a laser.
Scanning distance of 60 meters (~197 feet)
LIDAR
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MAP OF THE SURROUNDINGS
No blind spot e.g. pedestrian emerged frombetween two parked cars
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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.
VIDEO CAMERA
DISTANCE SENSORS
POSITION ESTIMATOR (WHEEL ENCODER)
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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
ARTIFICIAL INTELLIGENCE
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CURRENTLY.
As of 2014:• Nevada
o 1st state to allow driverless vehicles can be legally operated on public roads
• 6 Google Driverless Carso 5 Toyota Priuso 1 Audi TT
• Total mileso 140,000 miles with
occasional human intervention
CURRENTLY
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CONCLUSION:CONCLUSION
•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.
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ANY QUIRIES?
GOOGLE’S DRIVERLESS CAR
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THANK YOU…
GOOGLE’S DRIVERLESS CAR
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