GOOGLE DRIVERLESS
CAR
Presented By:
PRAGATHY.D
10/15/16
Google Driverless Car
ABSTRACT
self-driving car is vehicle that can drive itself
from one point to another without any assistance
from driver
It is capable of sensing its environment and
navigating without human input.
It
is also known as Driverless car , Self-Driving
Car & Robot Car , Autonomus car.
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Google Driverless Car
INTRODUCTION:
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
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GOOGLE CAR
The project is currently being
led by: Sebastian
Director of the Stanford
Artificial
Intelligence
Laboratory
2005 DARPA Grand
Challenge
Winner
Co-inventor of Google Street
View
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Google Driverless Car
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
Sensors
of the car still exist
pushing data into main computer to
process information
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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
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Google Driverless Car
GOOGLE MAP:
Google Maps interacts with GPS and acts like a
database.
Speed Limits.
Upcoming
intersections.
Traffic Report.
Nearby collisions.
Directions.
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Google Driverless Car
HARDWARESENSORS:
The hardware sensors gives real time
environmental properties.
Environment is dynamic so need real time
results.
Sensors attempt to create fully observable
environment.
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Google Driverless Car
HARDWARE SENSORS:
LIDAR
VIDEO
CAMERA
POSITION ESTIMATOR
DISTANCE SENSOR
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LIDAR
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)
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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
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object
returns a tiny part of the waves energy to a
dish
Radar
system has a transmitter that emits radio
waves called radar signal
Doppler
effect
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POSITION ESTIMATOR(Wheel
Encoder)
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
It
is maintained by the US government
freely accessible by anyone with a GPS receiver
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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
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WORKING
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
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LET'SSEEITINACTION!
A look from the inside...
A look from the outside...
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ADVANTAGES
Improved
It
fuel efficiency
will be of great help to people who are
physically challenged
Higher
speed limit for autonomous cars
Reduction
Fewer
of space required for vehicle parking.
traffic collision
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DISADVANTAGES
So
It
many taxi drivers can lose their jobs
steals driving pleasure from drivers who love it
It
requires that the road are in good condition and
follows a strict traffic system
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CONCLUSION:
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.
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THANK YOU
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