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Updated: Jul 16, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
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整体时空图注意车辆与行人交互的轨迹预测

Hesham Alghodhaifi1, Sridhar Lakshmanan1

  • 1Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, MI 48128, USA.

Sensors (Basel, Switzerland)
|September 9, 2023
PubMed
概括

智能汽车与行人不可预测性作斗争. 一个新的整体空间时间图注意力 (HSTGA) 模型通过分析复杂的相互作用来改善轨迹预测,以实现更安全的导航.

关键词:
这是LSTM的LSTM.自动驾驶汽车是一种自动驾驶汽车.连接的车辆连接的车辆.图表注意力网络 图表注意力网络预测行人行为,预测行人的行为.轨迹预测 轨迹预测车辆行人互动的交互

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