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.