Google Driverless Car Project
Objective
Google driver less car is a self-driving car which has autopilot system technique to drive from one point to another. The objective of developing such type of car was to prevent accidents and reduce carbon emissions. Therefore there was the need for a technology which can drive a car themselves. There are latest technologies used in this type of cars like video cameras, sensors, and lasers. Besides this, there is a trained software operator which is on the passenger seat to control the software.
Purpose
There was the need for an efficient and safer transportation due to which there was the need of the autonomous system to be developed.
Advantages
- This automatic system could improve traffic flow thus preventing traffic jams.
- It will help to reduce the accidents caused by drivers of cars.
- It saves time
- The car will itself park at parking area thereby reducing efforts.
Components of car
LIDAR
This is the technology used in such types of cars called LIDAR. This google driverless car has GPS system with LIDAR sensors sent from and information sent from radar sensors on the front of the car. There is also an additional sensor for the rear wheel. LIDAR denotes Light Detection and Ranging. This technology can measure distances. Its main advantage is that it can detect smaller objects. The LIDAR sensor is mounted on the bumper which measures a distance between the cars and if a distance is close then it adjusts its speed accordingly. This automated car is still in the experimental stage. The combination of this technology in a car makes it a fully autonomous system. There are many benefits of it.
RADAR
It is the detection device which is used to determine altitude, range or speed of objects. In this type of car MA-COM SRS Radar resistant used for weather conditions. It also helps in providing parking assistance which is provided by rear-mounted sensors.
GPS
A global positioning system is used to provide location information in all weather conditions anywhere or near the Earth. So GPS is used in these cars.
Position sensor
It controls position measurement. There is a rotational encoder that converts the angular motion of the shaft to analog or digital code. The output of encoders determines the position of the shaft. These types of rotatory encoders are used in many applications.
Camera
It is the most important component used in such type of cars. This google car has three types of car-mounted cameras.
Google map
This car has no steering, brake or accelerator, it just has buttons to start, stop and pullover. The google maps are used to navigate properly. The google map provides a car with information about the route and interacts with GPS like a database.
Working on the Google car
In this car the going destination is set by the driver and the software is used to calculate the route. LIDAR monitors and senses around the surroundings of a car and create a map of that area. Then movement is monitored by the ultrasonic sensor which detects position relative to the map. Then distance sensors calculate distances to obstacles. There are video cameras and street view. The artificial intelligence and human perception control actions such as accelerator, steering, and brakes.
This car if comes on the market will be very useful for the humans. It can help to void accidents. It can itself drive at night time. This driver less technology improves the stability of vehicles that help to reduce the loss of control. So this google driver less car would be very beneficial in the future.
Download Project Material
Google Driverless Car Abstract
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