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THE SOLUTION
FORTHIS
IS…….
Contents
Introduction
History
Technology involved
Block diagram
Components
Advantages
Disadvantages
Conclusion
Adoption challenges
Future implication
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.
The project is currently being
led by: Sebastian Thrun.
Director of the Stanford
Artificial Intelligence
Laboratory.
Co-inventor of Google
Street View.
Block diagram of automated car
Devices involved
Google Maps
Wheel speed sensors
Radars
LIDAR
VIDEO CAMERA
POSITION ESTIMATOR
DISTANCE SENSOR
Automotive Night Vision
Artificial Intelligence
Provides the car with road
information.
Google Maps interacts with
GPS and acts like a database.
Speed Limits.
Upcoming intersections.
Traffic Report.
Nearby collisions.
Directions.
Radars
“Heart of the system“
LIDAR stands for Light Detection And
Ranging.
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).
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.
Increases 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.
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.
Central processor of a AUTOMATED
CAR
TECHNOLOGIES MAKING A SYSTEM FULLY
AUTONOMOUS
Anti-lock brakes(ABS)
Electronic stability control
(ESC)
Cruise control
Lane Departure Warning
System
Self Parking
Automated Guided Vehicle
Systems
Avoid accidents.
Current location can be easily identified
by GPS.
Manage traffic Flow.
Smoother ride.
Relief of vehicle occupants from driving
and navigation chores.
Reduction in car theft, due to the
vehicle's self-awareness.
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 senor and backup sensor the vehicle can
create chances of accidents.
Chris Urmson of Google said That the LIDAR technology cannot
spot a police officer signaling car to stop.
The vehicles are unable to recognize temporary traffic signals.
According to Google, projects having these issues fixed by 2020.
Adopting Challenges
HARD WARE COMPARISON BETWEEN
MAN
&
MACHINE
 Automated collision avoidance systems
 Less fatalities
 Avoid human errors
 No sleepy, grumpy, texting humans
 Fuel efficient driving
 Saves 10-15% FUEL
 “Eco – friendly”
 Closer car-to-car distance
 Less need for building more
road lanes
 Elimination of breaks in between
 Lessen the burden of the truck drivers
Taxi industry??
 Independentl
y seek
parking
 Demand for
adjacent
parking
decrease
 Conversion
to other land
uses
Technology & Maintenance
issues
Political & Regulatory Issues
Can “passengers” be drunken?
Critical criteria
(in order of
significance)
Wifi Bluetooth
Range 300 feet+ ~30 feet
Security Higher
(if configured properly)
Lower
Interconnectivity
with relevant
stakeholders
Higher
(server/network concept)
Lower
(device-to-device concept)
Cost Higher
(yet acceptable)
Lower
Overall Better Worse
The driverless car improves vehicle’s
stability helps to minimize the loss
of control.
Main aim is to minimize the road
accidents.
CONCLUSION
automated car

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automated car

  • 1.
  • 2.
  • 3.
  • 5.
  • 7. 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.
  • 8. The project is currently being led by: Sebastian Thrun. Director of the Stanford Artificial Intelligence Laboratory. Co-inventor of Google Street View.
  • 9. Block diagram of automated car
  • 11. Google Maps Wheel speed sensors Radars LIDAR VIDEO CAMERA POSITION ESTIMATOR DISTANCE SENSOR Automotive Night Vision Artificial Intelligence
  • 12. Provides the car with road information. Google Maps interacts with GPS and acts like a database. Speed Limits. Upcoming intersections. Traffic Report. Nearby collisions. Directions.
  • 13.
  • 15. “Heart of the system“ LIDAR stands for Light Detection And Ranging. 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).
  • 16. 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.
  • 17. Increases 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.
  • 18. 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.
  • 19. Central processor of a AUTOMATED CAR
  • 20. TECHNOLOGIES MAKING A SYSTEM FULLY AUTONOMOUS Anti-lock brakes(ABS) Electronic stability control (ESC) Cruise control Lane Departure Warning System Self Parking Automated Guided Vehicle Systems
  • 21. Avoid accidents. Current location can be easily identified by GPS. Manage traffic Flow. Smoother ride. Relief of vehicle occupants from driving and navigation chores. Reduction in car theft, due to the vehicle's self-awareness.
  • 22. 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 senor and backup sensor the vehicle can create chances of accidents. Chris Urmson of Google said That the LIDAR technology cannot spot a police officer signaling car to stop. The vehicles are unable to recognize temporary traffic signals. According to Google, projects having these issues fixed by 2020.
  • 24. HARD WARE COMPARISON BETWEEN MAN & MACHINE
  • 25.  Automated collision avoidance systems  Less fatalities  Avoid human errors  No sleepy, grumpy, texting humans
  • 26.  Fuel efficient driving  Saves 10-15% FUEL  “Eco – friendly”
  • 27.  Closer car-to-car distance  Less need for building more road lanes
  • 28.  Elimination of breaks in between  Lessen the burden of the truck drivers Taxi industry??
  • 29.  Independentl y seek parking  Demand for adjacent parking decrease  Conversion to other land uses
  • 31. Political & Regulatory Issues Can “passengers” be drunken?
  • 32.
  • 33.
  • 34. Critical criteria (in order of significance) Wifi Bluetooth Range 300 feet+ ~30 feet Security Higher (if configured properly) Lower Interconnectivity with relevant stakeholders Higher (server/network concept) Lower (device-to-device concept) Cost Higher (yet acceptable) Lower Overall Better Worse
  • 35. The driverless car improves vehicle’s stability helps to minimize the loss of control. Main aim is to minimize the road accidents. CONCLUSION

Editor's Notes

  1. You can boost the overall fuel-efficiency of your car as much as 30% by simple vehicle maintenance and attention to your style of driving. Here are some tips on fuel-efficient driving that will not only reduce greenhouse gas emissions and other pollutants, but could save you hundreds of dollars a year in fuel costs. TIPS FOR FUEL-EFFICIENT DRIVING: Avoid aggressive driving. "Jack-rabbit" starts and hard braking can increase fuel consumption by as much as 40%. Tests show that "jackrabbit" starts and hard braking reduces travel time by only four percent, while toxic emissions were more than five times higher. The proper way is to accelerate slowly and smoothly, then get into high gear as quickly as possible. In city driving, nearly 50% of the energy needed to power your car goes to acceleration. Drive steadily at posted speed limits. Increasing your highway cruising speed from 55mph (90km/h) to 75mph (120km/h) can raise fuel consumption as much as 20%. You can improve your gas mileage 10 - 15% by driving at 55mph rather than 65mph (104km/h). Note how quickly efficiency drops after 60 mph.
  2. http://cityminded.org/how-will-driverless-cars-affect-our-cities-6526 After dropping off passengers, driverless cars will independently seek parking (or their next car-share customers)  As soon as driverless cars are common enough, the demand for adjacent parking will dwindle and parking lots in areas where land is sufficiently valuable will be ripe for conversion to other land use.
  3. Range: Imagine instructing your car in garage from your room in a typical US house; Imagine instructing your car not at your garage, but in the neighborhood, perhaps having just sent your kids to school Security: Encryption Imagine situation you drop your bluetooth device, cell phone (bluetooth situation) VS secure log-in, immediate shut down of access to network/servers (wifi situation) Interconnectivity: e.g. car manufacturer, autopilot service provider, police dept, transport dept