Pedestrian trajectory prediction by deep learning considering obstacles in the surrounding environment
In this paper, we propose a pedestrian trajectory prediction method for autonomous mobile robots. In many cases, there are many pedestrians in the environment in which the autonomous mobile robot runs. In such an environment, the robot needs to run safely for pedestrians. In order to avoid collision...
Main Authors: | Naoya SUGIURA, Takumi MATSUDA, Yoji KURODA |
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Format: | Article |
Language: | Japanese |
Published: |
The Japan Society of Mechanical Engineers
2021-06-01
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Series: | Nihon Kikai Gakkai ronbunshu |
Subjects: | |
Online Access: | https://www.jstage.jst.go.jp/article/transjsme/87/899/87_21-00125/_pdf/-char/en |
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