Today world is running behind the time and the technology improves rapidly along with the time, so the topic of self-driving cars is introduced. By this we can save the time and we can do other works (for ex. Office work etc).While travelling without concentrating on driving the car. Many of us use cars everyday but unlike aero planes which have been flying on autopilot for decades cars are still driven manually just the way they were driven 100 years ago this talk will introduce the trans-formative concept of a self-driving car. Self-driving cars are expected to improve the load safety and mobility of those who currently cannot use conventional vehicles and better comfort to consumer. In this we discuss the self-driving cars (i.e. autonomous).

A self-driving car is capable of sensing its environment and navigation without human input to accomplish this task the vehicle is usually outfitted with a GPS unit, inertial navigation system and a range of sensor including laser range finder radars and video. The majority of self-driving cars are capable of making intelligent division by maintaining on internal map of their world using GPS system.

Using that map to find an optimal path to their destination that avoids obstacles from a set of possible paths. Once the vehicle determines best paths to take the decision is dissected into a command which is fed to the vehicles actuators. This actuators control the vehicles steering and breaking throttle etc.

These systems have become capable enough that new luxury vehicles can drive themselves in slow moving highway traffic.

Ultrasonic sensors may be used to measure the position of object very close to the vehicle, such as curbs and other vehicles when parking signals from the GPS(global positioning system) satellites are combined with reading from tachometers, altimeters and gyroscope to provide more accurate positioning than is possible with GPS alone.

LIDAR (light detecting and ranging) sensors bounces pulses of light off the surrounding. Then are analysed to identity lane marking and the edges of roads. Video cameras detect traffic lights, read road signs, keep track of the position of other vehicles and look out for pedestrians’ obstacles on the road.

Radar sensors monitor the position of other vehicles nearby. Such sensors are already used in adoptive cruise-control systems. The information from all of the sensors is analysed by a central computer that manipulates the steering, accelerator and brakes. Its software must understand the rules road, both formal and informal.