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Google Self Driving Car
PPT on Google Self Driving Car
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CONTENTS Introduction Technology What Is It ? How Does It Work ?
Equipment Used
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Advantages limitations References
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Introduction Google self-driving car is a project by google that involves developing technology for mainly electric cars. The software installed in Google's cars is called Google Chauffeur. The project was formerly led by Sebastian Thrun, former director of the Stanford Artificial Intelligence Laboratory and co-inventor of Google Street View Google plans to make these cars available to the public in
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Technology The project team has equipped a number of different types of cars with the self-driving equipment, including the Toyota, Audi TT, and Lexus RX450h, Google has also developed their own custom vehicle, which is assembled by Roush Enterprises and uses equipment from Bosch, LG. Google's robotic cars have about $150,000 in equipment including a $70,000 LIDAR system.
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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. As of June 2014, the system works with a very high definition inch-precision map of the area the vehicle is expected to use.
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What is it? It is the first truly driverless electric car prototype built by Google to test the next stage of its five-year-old self-driving car project. It looks like a cross between a Smart car and a Nissan Micra, with two seats and room enough for a small amount of luggage. It is the first real physical incarnation of Google’s vision of what a self-driving car of the near future could be.
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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.
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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
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Equipment Used Lidar System Video Cameras Radar Sensors
Ultrasonic Sensors Central Computer
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Lidar The Liadar Sensors is designed for obstacle detection and navigation of autonomous ground vehicles.
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Video Cameras Different types of cameras are installed at various
locations.
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Radar Sensors The radars are installed at front and back side of the car.
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Ultrasonic Sensors It is use to measure the position of object very close to the vehicles, such as other vehicles when parking.
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Central Computer Information from all the Sensors is analysed by a central computer. It manipulates the steering, accelerators and brakes.
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Advantages Managing traffic flow. Relieving Vehicles. Avoid accidents.
Increase roadway capacity. Determine current location.
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Limitations Vehicles can be switched off on the road (in rare cases).
Less security when using Internet. Hackers can be change routes (in rare cases). In case of failure of Sensors vehicle can created a chance of accidents. In rainfall car cannot be recognised traffic signals.
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References https://en.m.wikipedia.org/wiki/Google_self-driving_car
Google self driving car project
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