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Updated: Jan 10, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
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Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

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多模式行人轨迹预测的因果干预和反事实推理

Xinyu Han1, Huosheng Xu1,2

  • 1School of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China.

Journal of imaging
|November 26, 2025
PubMed
概括

本研究介绍了一种因果干预和反事实推理 (CICR) 框架,用于在自动驾驶系统中更准确地预测行人轨迹. 这种新的方法提高了预测多样性,减少了偏差,优于现有方法.

关键词:
有关因果干预的干预.功能融合功能融合功能多式联络预测多式联络预测轨迹预测 轨迹预测

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