汽车工程学报2018，Vol.8Issue(1)：24-30,7.DOI:10.3969/j.issn.2095-1469.2018.01.04
基于D-S推理算法的智能车辆轨迹预测研究
Research on Trajectory Prediction for Intelligent Vehicles Based on D-S Reasoning
摘要
Abstract
Trajectory prediction is one of the hot topics on intelligent vehicles. Firstly, the basic principles of D-S reasoning theory and vehicle motion models for trajectory prediction were introduced. Then, the framework of trajectory prediction system based on D-S theory was established, and the basic probability assignment(BPA) function values for each sensor were constructed. Finally, the co-simulation of Carsim and LabView and vehicle experiment were implemented to verify the proposed algorithm. The simulation and experimental results show that by using the D-S reasoning the best motion model can be selected and therefore the optimal trajectory prediction can be obtained in each prediction period.关键词
智能汽车/轨迹预测/D-S推理/汽车试验Key words
intelligent vehicle/trajectory prediction/D-S reason/vehicle test分类
交通工程引用本文复制引用
黄建根,陈祯福,裴晓飞,董兴智,张杰..基于D-S推理算法的智能车辆轨迹预测研究[J].汽车工程学报,2018,8(1):24-30,7.基金项目
国家自然科学基金青年项目(51505354) （51505354）
