Integrated Smart Car Navigation and Voice Control System Design

The performance of the navigation system of INS aided with GPS by Kalman filter integration method was studied, i.e. the positioning outputs of GPS were taken as the measurements to calibrate the INS error parameters, such as error covariance matrices of states, gyro-compass alignment error, as well as accelerometer bias. The integrated system can preserve the advantages and avoid the disadvantages of both systems. The lost tracking conditions of GPS were also performed, the results showed that the longer the GPS locked, the better the errors of INS were calibrated. Thus the navigation system of INS aided with GPS was better than that with only GPS or INS. In addition, we also used a voice-recognition module and two DC motors to drive vehicle shafts for direction and movement control, such that the car can be controlled by the proposed intelligent system with voice command