A Review of Deep Learning-Based Methods for Pedestrian Trajectory Prediction.

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作者： Bogdan Ilie,Sighencea ^[1] ; Rareș Ion,Stanciu ^[1] ; Cătălin Daniel,Căleanu ^[1]

作者单位： Applied Electronics Department, Faculty of Electronics, Telecommunications, and Information Technologies, Politehnica University Timișoara, 300223 Timișoara, Romania. ^[1]

关键词 autonomous vehicles deep learning pedestrian behavior sensor technologies trajectory prediction

主题词事故, 交通(Accidents, Traffic);汽车驾驶(Automobile Driving);人类(Humans);信号处理, 计算机辅助(Signal Processing, Computer-Assisted);工艺学(Technology)

DOI 10.3390/s21227543

PMID 34833619

发布时间 2021-11-30

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Sensors (Basel, Switzerland)

2021年21卷22期

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A Review of Deep Learning-Based Methods for Pedestrian Trajectory Prediction.

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A Review of Deep Learning-Based Methods for Pedestrian Trajectory Prediction.

Sensors (Basel, Switzerland)

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