The Study on Algorithm about Two-Dimensional Track Reconstruction of Vehicle's Movement Based on Acceleration

Critical situations or accidents during driving always happen in very short time (less than 3s even 1s). Nowadays there is not a good means to supervise the microcosmic gestures and tracks of vehicles' movement during driving, such as the GPS just outputs one coordinate dot per second. The sampling rate is too low to supervise the vehicles' behavior accurately and send out the danger-warning or confirm the responsibility after an accident. Based on the single-point two-dimensional acceleration data at high sampling rate and the particularity of vehicles' movement-Ackermann model, this paper ameliorates the algorithm about the track reconstruction of SINS and proposes an algorithm to reconstruct the two-dimensional track of vehicles' movement at high sampling rate. From the data and analysis of an experiment which collects the acceleration data from a vehicle, this paper's algorithm is proved to be validated.