Research on pedestrian trajectory prediction method based on informer

Bingjie Li

doi:10.1117/12.3034045

16 October 2024 Research on pedestrian trajectory prediction method based on informer

Bingjie Li

Author Affiliations +

Proceedings Volume 13291, Ninth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2024); 132914R (2024) https://doi.org/10.1117/12.3034045
Event: Ninth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2024), 2024, Changchun, China

Abstract

Since the pedestrian trajectory has certain correlation with the behavioral actions of pedestrians, in order to consider the influence of pedestrian behavioral features on pedestrian movement and improve the prediction performance of pedestrian trajectory, this paper proposes a pedestrian trajectory prediction framework that integrates pedestrian behavior. Firstly, the pedestrian behavior recognition network is used to discriminate the behavioral features of pedestrians and obtain the pedestrian behavior recognition results; then, the historical trajectory of pedestrian movement is used as the input feature of the trajectory prediction network, the recognized pedestrian behavior results are fused, and the time coding is added to generate the future trajectory of pedestrians. Finally, the effectiveness of the proposed pedestrian trajectory prediction method by fusing behavioral features is verified through experiments.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Bingjie Li "Research on pedestrian trajectory prediction method based on informer", Proc. SPIE 13291, Ninth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2024), 132914R (16 October 2024); https://doi.org/10.1117/12.3034045

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Education and training

Motion models

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