兵工自动化2024，Vol.43Issue(5)：43-52,10.DOI:10.7690/bgzdh.2024.05.009
智能驾驶车辆轨迹预测方法综述
A Survey of Vehicle Trajectory Prediction Methods for Intelligent Driving
龙皓明 1薛振锋 1陈卓 2刘勇1
作者信息
- 1. 湖州师范学院信息工程学院,浙江 湖州 313000||浙江大学湖州研究院,浙江 湖州 313002
- 2. 中国船舶集团有限公司系统工程研究院,北京 100094
- 折叠
摘要
Abstract
In view of the difficulties of vehicle trajectory prediction,the classification and research status of vehicle trajectory prediction methods are reviewed.According to the different prediction time domain of model implementation,the existing algorithms are divided into short time domain and long time domain vehicle trajectory prediction methods;the basic concepts and research status of short time domain prediction methods based on physical model and traditional machine learning are introduced,and the long time domain prediction methods based on deep learning,neural network and vehicle driving behavior intention recognition are summarized and compared.The analysis results show that the long time domain method can solve the difficult problem of vehicle trajectory prediction and ensure the efficient and safe driving of intelligent vehicles.关键词
智能驾驶/车辆轨迹预测/深度学习/意图识别Key words
intelligent driving/vehicle trajectory prediction/deep learning/intention recognition分类
交通工程引用本文复制引用
龙皓明,薛振锋,陈卓,刘勇..智能驾驶车辆轨迹预测方法综述[J].兵工自动化,2024,43(5):43-52,10.
