Overview of Trajectory Prediction for Intelligent Driving Vehicles

by Yang Chen, Xun Huang, and Fuquan Zhang

International Journal of Information Technology and Applications, Vol. 1, No. 3, pp. 128-140, September 2024.

Abstract: Autonomous driving technology has huge potential in improving traffic safety and traffic efficiency. Vehicle trajectory prediction is a key technology to achieve autonomous driving. This article mainly discusses some recent status quo of trajectory prediction for autonomous vehicles. This article divides trajectory prediction into three categories: based on physical models, based on maneuvering behavior, and based on interactive perception. This category is analyzed based on each method combined with the current status of relevant research. Finally, the future prospects of trajectory prediction in terms of innovation and optimization algorithms, development of vehicle-mounted sensors, vehicle model uncertainty, and vehicle-road coordination prediction are pointed out.