期刊
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
卷 39, 期 8, 页码 895-935出版社
SAGE PUBLICATIONS LTD
DOI: 10.1177/0278364920917446
关键词
Survey; review; motion prediction; robotics; video surveillance; autonomous driving
类别
资金
- European Union's Horizon 2020 research and innovation programme [732737]
With growing numbers of intelligent autonomous systems in human environments, the ability of such systems to perceive, understand, and anticipate human behavior becomes increasingly important. Specifically, predicting future positions of dynamic agents and planning considering such predictions are key tasks for self-driving vehicles, service robots, and advanced surveillance systems. This article provides a survey of human motion trajectory prediction. We review, analyze, and structure a large selection of work from different communities and propose a taxonomy that categorizes existing methods based on the motion modeling approach and level of contextual information used. We provide an overview of the existing datasets and performance metrics. We discuss limitations of the state of the art and outline directions for further research.
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