Predicting vehicle trajectory accurately is a crucial task for an autonomous vehicle. It is also necessary for many Advanced Driver Assistance System to predict trajectory of the ego-vehicle’s. In recent years, some vehicles trajectory prediction algorithm is mainly based on a simple Motion Model. This paper puts forward a method which combines road recognition and the hypothesis of steady preview and dynamic correction for trajectory prediction. In the road recognition algorithm, both methods of Kalman Filter (KF) and Recursive Least-Square (RLS) work well to estimate the road slope and road friction coefficient.
Vehicle Trajectory Prediction Based on Road Recognition
Applied Mechanics and Materials ; 599-601 ; 760-766
2014-08-11
7 pages
Article (Journal)
Electronic Resource
English
Vehicle collision early warning method based on vehicle-road cooperation trajectory prediction
European Patent Office | 2023
|Urban road vehicle trajectory prediction algorithm based on external knowledge enhancement
European Patent Office | 2024
|Situational Intelligence-Based Vehicle Trajectory Prediction in an Unstructured Off-Road Environment
British Library Conference Proceedings | 2023
|Situational Intelligence-Based Vehicle Trajectory Prediction in an Unstructured Off-Road Environment
SAE Technical Papers | 2023
|