A graph convolutional neural network model for trajectory prediction

Zichao Di; Yue Zhou; Kun Chen; Zongzhi Chen

doi:10.1117/12.2623385

16 February 2022 A graph convolutional neural network model for trajectory prediction

Zichao Di, Yue Zhou, Kun Chen, Zongzhi Chen

Proceedings Volume 12083, Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021); 120831U (2022) https://doi.org/10.1117/12.2623385
Event: Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021), 2021, Kunming, China

Abstract

This paper proposes a joint trajectory prediction algorithm based on graph neural networks and map scene information assistance. And proposed a kernel function to calculate the influence between different targets in the scene.

Citation Download Citation

Zichao Di, Yue Zhou, Kun Chen, and Zongzhi Chen "A graph convolutional neural network model for trajectory prediction", Proc. SPIE 12083, Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021), 120831U (16 February 2022); https://doi.org/10.1117/12.2623385

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