Research on vehicle attitude determination algorithms based on Kalman filter

Vehicle driving conditions include attitude angle, speed and so on. These factors play a significant role in vehicle safety. Besides, it also influences the driving comfort to some extent. A solution for vehicle gesture detecting without gyroscope is presented in this paper. Firstly, we get the real acceleration and gravity acceleration components by combining two tri-axial accelerometers and taking advantage of the constant property of gravitational acceleration´s direction. Then noises signals are filtered on the basis of Kalman filtering algorithm. This method is easy operation for the simple algorithm.