Pedestrians crossing intention anticipation based on dual‐channel action recognition and hierarchical environmental context

Author:

Ni Rongrong12ORCID,Yang Biao123,Wei Zhiwen3,Hu Hongyu1ORCID,Yang Changchun3

Affiliation:

1. State Key Laboratory of Automotive Simulation and Control Jilin University Changchun China

2. College of IoT Engineering Hohai University Changzhou China

3. School of Microelectronics and Control Engineering Changzhou University Changzhou China

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Reference68 articles.

1. Vehicle dynamics and external disturbance estimation for vehicle path prediction

2. Brand M. Oliver N. et al.:Coupled hidden Markov models for complex action recognition. In:Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition pp.994–999.IEEE Piscataway NJ(1997)

3. YOLOv4‐5D: an effective and efficient object detector for autonomous driving;Cai Y.;IEEE Trans. Instrum. Meas.,2021

4. Scale‐aware attention‐based pillarsNet (SAPN) based 3D object detection for point cloud;Song X.;Math. Prob. Eng.,2020

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Pedestrian Crossing Intention Prediction Based on Cross-Modal Transformer and Uncertainty-Aware Multi-Task Learning for Autonomous Driving;IEEE Transactions on Intelligent Transportation Systems;2024-09

2. Behavioral Intention Prediction in Driving Scenes: A Survey;IEEE Transactions on Intelligent Transportation Systems;2024-08

3. DPCIAN: A Novel Dual-Channel Pedestrian Crossing Intention Anticipation Network;IEEE Transactions on Intelligent Transportation Systems;2023

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