The invention belongs to the technical field of automobile automatic driving, and particularly relates to an automobile track prediction method and system based on a high-definition map and a GEGNN-LSTM model, and the method comprises the steps: firstly obtaining precise road information, including a road shape, an intersection position and the like, through employing the high-definition map; and then, a GEGNN-LSTM model is adopted to learn the historical track data of the automobile, various factors such as the historical track of the automobile, traffic signal lamp sign information and road information are comprehensively considered, and the future track of the automobile is predicted. The method can be widely applied to the fields of intelligent traffic systems, automatic driving and the like, and provides powerful support for the aspects of vehicle driving safety, road traffic efficiency improvement and the like. Meanwhile, the implementation of the method also helps to promote the further development of the intelligent traffic system, and has important practical value and social benefit.
本发明属于汽车自动驾驶技术领域,具体涉及一种基于高清地图和GEGNN‑LSTM模型的汽车轨迹预测方法和系统,包括首先利用高清地图获取精确的道路信息,包括道路形状、交叉口位置等。然后,采用GEGNN‑LSTM模型对汽车历史轨迹数据进行学习,综合考虑车辆历史轨迹、交通信号灯标志信息和道路信息等多种因素,实现对汽车未来轨迹的预测。该发明可广泛应用于智能交通系统、自动驾驶等领域,为车辆行驶安全、道路通行效率提升等方面提供有力支持。同时,该方法的实施还有助于推动智能交通系统的进一步发展,具有重要的实用价值和社会效益。
Automobile track prediction method and system based on high-definition map and GEGNN-LSTM model
一种基于高清地图和GEGNN-LSTM模型的汽车轨迹预测方法和系统
2025-01-28
Patent
Electronic Resource
Chinese
IPC: | G06V / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
Automobile track prediction method based on LSTM technology
European Patent Office | 2020
|Automobile track prediction system based on an LSTM technology and prediction method thereof
European Patent Office | 2020
|Prediction of ship track based on ARIMA-LSTM
British Library Conference Proceedings | 2022
|