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Updated: Sep 13, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
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多任务轨迹预测使用车道解的有条件变量自编码器

Haoyang Chen1, Na Li1, Hangguan Shan1

  • 1The College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China.

Sensors (Basel, Switzerland)
|July 30, 2025
PubMed
概括

本研究介绍了MS-SLV,这是一个用于自动驾驶轨迹预测的新生成框架. 它通过整合时间意识的场景编码和结构化的潜伏模型来增强多式预测,以获得更准确和更具上下文连贯性的预测.

关键词:
自动驾驶自动驾驶的自动驾驶.深度学习是一种深度学习.生成型模型的生成型模型.轨迹预测 轨迹预测

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