Pedestrian Graph: Pedestrian Crossing Prediction Based on 2D Pose Estimation and Graph Convolutional Networks - researchr publication related

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Pablo Rodrigo Gantier Cadena, Ming Yang, Yeqiang Qian, Chunxiang Wang. Pedestrian Graph: Pedestrian Crossing Prediction Based on 2D Pose Estimation and Graph Convolutional Networks. In 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019, Auckland, New Zealand, October 27-30, 2019. pages 2000-2005, IEEE, 2019. [doi]

The following publications are possibly variants of this publication:

Pedestrian Graph +: A Fast Pedestrian Crossing Prediction Model Based on Graph Convolutional NetworksPablo Rodrigo Gantier Cadena, Yeqiang Qian, Chunxiang Wang, Ming Yang 0002. tits, 23(11):21050-21061, 2022. [doi]

Estimating Pedestrian Crossing States Based on Single 2D Body PoseZixing Wang, Nikolaos Papanikolopoulos. iros 2020: 2205-2210 [doi]

Graph Partition Convolution Neural Network for Pedestrian Trajectory PredictionRuiyang Wang, Ming Li, Pin Zhang, Fan Wen. ictai 2021: 457-462 [doi]

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