2023
DOI: 10.3390/app132413192
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Vehicle Trajectory Prediction Based on Graph Convolutional Networks in Connected Vehicle Environment

Jian Shi,
Dongxian Sun,
Baicang Guo

Abstract: Vehicle trajectory prediction is an important research basis for the decision making and path planning of the intelligent and connected vehicle. In the connected vehicle environment, vehicles share information and drive cooperatively, and the intelligent and connected vehicles are able to obtain more accurate and rich perception information, which provides a data basis for accurate prediction of vehicle trajectories. However, attaining accurate and effective vehicle trajectory predictions poses technical chall… Show more

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