Trajectory prediction is very important for autonomous driving vehicles. Deep-learning approaches can capture the interaction information. Therefore more and more researchers are using deep-learning models to accomplish vehicle trajectory prediction. This paper provides a detailed and comparative description of the methods for vehicle trajectory prediction based on deep-learning models. We start by modelling trajectory predictions for vehicles. Several common deep-learning models used in vehicle trajectory prediction are then highlighted. Next, we compare the structural features, salient advantages and applicable scenarios of commonly used deep-learning models. Future directions for vehicle trajectory prediction are discussed at the end.
A Survey of Vehicle Trajectory Prediction Based on Deep-Learning
2023-02-24
1223213 byte
Conference paper
Electronic Resource
English
A Survey of Vehicle Trajectory Prediction Based on Deep Learning Models
Springer Verlag | 2023
|A Survey on Deep-Learning Approaches for Vehicle Trajectory Prediction in Autonomous Driving
ArXiv | 2021
|DEEP LEARNING-BASED VEHICLE TRAJECTORY PREDICTION DEVICE AND METHOD THEREFOR
European Patent Office | 2023
|Deep learning-based vehicle trajectory prediction device and method therefor
European Patent Office | 2024
|