The invention discloses a walking track prediction method based on interaction of a pedestrian, an environment and a vehicle, the method is based on a physical model, pedestrian tracks can be predicted more accurately by combining interaction of the pedestrian, the environment and other intelligent agents, and the prediction method recorded in the invention is not based on a data-driven scheme, so that the prediction efficiency is greatly improved. Therefore, a large amount of labeled data is not needed, and the defects of poor model interpretability, poor interactivity and the like existing in a deep learning scheme are overcome.
本发明公开一种基于行人与环境及车辆交互的行走轨迹预测方法,该方法以物理模型为基础,通过将行人与环境以及其他智能体的交互相结合,能够更准确的预测行人轨迹,且本发明记载的预测方法不是基于数据驱动的方案,所以不需要大量的标注数据,摒弃了深度学习方案所存在的模型解释性差、交互性差等缺点。
Walking track prediction method based on interaction of pedestrian, environment and vehicle
一种基于行人与环境及车辆交互的行走轨迹预测方法
2025-03-18
Patent
Electronic Resource
Chinese
IPC: | B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion |
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