Abstract
Automatic Car Navigation System gives us knowledge about the vehicle moving system. It mainly, gives us information how DC motor is controlled, and how it behaves when connected with H-bridge. H-bridge is interfaced with both DC motor and microcontroller and the operation of vehicle depends on the programming of microcontroller. For microcontroller we selected evaluation board which supports our microcontroller (ATmega328). The H-bridge selected for interfacing was L293D which is Quadruple Half H-Driver. When interfaced with GPS, the car moves in the given direction. The initial location and the destination location were defined in the GPS module. The main aim was to drive the car from the initial location to final destination. The GPS module selected for this purpose was EM-408 from US GlobalSat Incorporation. Also we implemented Kalman Filter Algorithm, to cancel out the noise and errors in the GPS signal. While retrieving the GPS signal, it is effected by noise and certain errors, and this algorithm helps us out to cancel this effect. It uses mathematical equations in which initial vector and state estimate are defined. After doing the initial assignments, we obtain observation and control vector and by using Kalman filter we get the updated state estimate. This value that we receive is taken into account and microcontroller takes this value and gives direction to the vehicle according to that.