Simultaneous Prediction of Pedestrian Trajectory and Actions based on Context Information Iterative Reasoning
文献类型:会议论文
作者 | Chen B(陈博)1,2,3; Li DC(李德才)1,2![]() ![]() |
出版日期 | 2021 |
会议日期 | September 27 - October 1, 2021 |
会议地点 | Prague, Czech republic |
页码 | 1007-1014 |
英文摘要 | Pedestrian trajectories and actions prediction in complex environment is challenging due to the complexity of human behavior and a variety of internal and external stimuli. Much works has gone towards predicting trajectories and actions separately without mining the coupling relationships between them, which is an important information for our humans to reason and predict. Inspired by this, we propose an end-to-end joint context information iterative reasoning network (CIR-Net). Specifically, a novel heterogeneous spatiotemporal graph module (HST-Graph) is proposed to encode and aggregate multiple types of context information of the motion pattern and the scene. And an action-trajectory hybrid guidance module is proposed to enhance the ability of long-time prediction by utilizing the internal coupling between actions and trajectory. Moreover, an iterative reasoning structure is designed to iteratively correcting the trajectory and actions prediction error. Experimental results on the ETHUCY and VIRAT datasets demonstrate the favorable performance of the framework. |
产权排序 | 1 |
会议录 | IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021
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会议录出版者 | IEEE |
会议录出版地 | New York |
语种 | 英语 |
ISSN号 | 2153-0858 |
ISBN号 | 978-1-6654-1714-3 |
WOS记录号 | WOS:000755125500102 |
源URL | [http://ir.sia.cn/handle/173321/30495] ![]() |
专题 | 沈阳自动化研究所_机器人学研究室 |
通讯作者 | He YQ(何玉庆) |
作者单位 | 1.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China 2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 3.University of Chinese Academy of Sciences, Beijing 100049, China |
推荐引用方式 GB/T 7714 | Chen B,Li DC,He YQ. Simultaneous Prediction of Pedestrian Trajectory and Actions based on Context Information Iterative Reasoning[C]. 见:. Prague, Czech republic. September 27 - October 1, 2021. |
入库方式: OAI收割
来源:沈阳自动化研究所
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