TALLA PADMAVATHI COLLEGE OF ENGINEERINGSomidi kazipet ,Warangal-506003

TECHNICAL SEMINAR ON

GOOGLE DRIVERLESS CAR

syed jabir 12uc1a0462

DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING

ContentsABSTRACTWHY WE NEED GOOGLE CARTECHNOLOGIESCOMPONENTSSENSORSLIDARRADARCAMERAULTRASONIC SENSORSCAR’S CPUMAJOR CHALLENGESCONCLUSIONREFERENCES

ABSTRACTIt is a vehicle that can drive itself from one point to another without assistance from a driver. It has  neither a steering wheel nor pedals in other words, with an autopilot system.

WHY WE NEED GOOGLE CAR?Driver error is the most common cause of traffic accidents.

Cell phones in-car ,entertainment systems, more traffic and more

complicated road systems making it more frequent accidents

By this improving technology our car will do the concentrating for us.

Technologies Anti-lock brakes(ABS) Electronic stability control (ESC) Cruise control

Lane Departure Warning System Self Parking

Automated Guided Vehicle Systems

COMPONENTS:

Google MapsProvides the car with road information

GPSProvides with real time location

SensorsProvides the car with real time environment conditions

Artificial IntelligenceProvides the car with real time decisions

SENSORS

LIDAR

The heart of Google’s self driving car is the rotating roof top camera, Lidar, which is a laser range finder. With its array of 64 laser beams, this camera creates 3D images of objects helping the car see hazards along the way. This device calculates how far an object is from the moving vehicle based on the time it takes for the laser beams to hit the object and come back. These high intensity lasers can calculate distance and create images for objects in an impressive 200m range.

RADAR

4 radars mounted on the car’s front and rear bumpers enable the car to be aware of vehicles in front of it and behind it. Most of us are familiar with this technology . Radar is an object-detection system that uses radio waves to determine the range, angle, or velocity of objects.

CAMERA

A camera mounted on the windshield. This camera with the help of IMAGE PROCESSING and ARTIFICIAL INTELLIGENCE rightly interpret common road behavior and motorist signs. For example, if a cyclist gestures that he intends to make a turn, the driverless car interprets it correctly and slows down to allow the motorist to turn. Predetermined shape and motion descriptors are programmed into the system to help the car make intelligent decisions.

ULTRASONIC SENSOR

As we are very familiar with this technique, this technique uses sound propagation to detect object. An ultrasonic sensor on one of the rear wheels helps keep track of the movements of the car. It also calculates number of rotation of the wheel to find exact location of the car with the help of GPS and GOOGLE MAP. And it also alert the car about the obstacles in the rear.

CAR’S CPU

All the data gathered by these sensors is collated and interpreted together by the car’s CPU or in built software system to create a safe driving experience.

MAJOR CHALLENGES

99% countries till now not allowed the driving of Google car.If the vehicle is using internet which is have less security then From

the hackers point of view in some cases the vehicle can be switched off on the road.

Hackers can also change the rout which is plotted in the system.Car has some issues driving in heavy rain.It have problem in differentiating between a plastic bag and a rock.

CONCLUSIONGoogle Car is very useful.

It will reduce the rate of road accidents.

It will follow the traffic rules and regulations.

It will make the efficient use of highways.

All the issues will be short out by the year 2020, and then we can enjoy the ride of Google Car.

REFERENCEShttp://en.wikipedia.org/wiki/driverlesscar/

http://www.national.co.uk/tech-powers-google-car

http://www.national.co.uk/tech-powers-google-car/

http://www.techtimes.com/articles/14625/20140902/rain-or-snow-rock-or-plastic-bag-google-driverless-car-cant-tell.htm

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