基于空间语义分析的轨迹预测技术综述
Review of Trajectory Prediction Techniques Based on Spatial Semantic Analysis
摘要
Abstract
With the rapid development of autonomous driving,intelligent navigation and other fields,the requirements of accuracy and robustness of spatio-temporal trajectory prediction are continuously increasing.Traditional trajectory prediction methods mainly rely on motion history data,thereby ignoring the semantic information in the context,which often makes it difficult to achieve ideal prediction results in complex scenarios.The relevant research in the field of trajectory prediction is reviewed,especially the research progress of trajectory prediction techniques based on spatial semantic analysis.The application of Visual Language Model(VLM)and Large Language Model(LLM)in trajectory prediction is mainly discussed,and a variety of trajectory prediction models based on spatial semantic analysis are introduced.Experimental results show that the VLM and LLM can significantly improve the accuracy of trajectory prediction.In the future,the trajectory prediction methods based on spatial semantic analysis will take into consideration the directions of multi-modality fusion,model architecture improvement and increasing reasoning speed to further improve the performance of large-scale trajectory prediction.关键词
自动驾驶/轨迹预测/空间语义/视觉语言模型/大语言模型/多模态Key words
autonomous driving/trajectory prediction/spatial semantics/VLM/LLM/multi-modality分类
信息技术与安全科学引用本文复制引用
杨博渊,张力航,李成,乔少杰,李任杰,李庆,黄明文,罗娜..基于空间语义分析的轨迹预测技术综述[J].无线电工程,2025,55(3):611-620,10.基金项目
国家自然科学基金(62272066) （62272066）
四川省科技计划(2023YFG0027,2024YFFK0413) （2023YFG0027,2024YFFK0413）
成都市技术创新研发项目(2024-YF05-01217-SN) （2024-YF05-01217-SN）
成都市技术创新研发项目重点项目(2024-YF08-00029-GX) （2024-YF08-00029-GX）
网络空间安全教育部重点实验室及河南省网络空间态势感知重点实验室开放基金课题(KLCS20240106) （KLCS20240106）
成都市区域科技创新合作项目(2025-YF11-00031-HZ,2025-YF11-00050-HZ,2023-YF11-00020-HZ) （2025-YF11-00031-HZ,2025-YF11-00050-HZ,2023-YF11-00020-HZ）
大学生创新创业训练计划项目(202410621195,202410621183)National Natural Science Foundation of China(62272066) （202410621195,202410621183）
Science and Technology Program of Sichuan Province(2023YFG0027,2024YFFK0413) （2023YFG0027,2024YFFK0413）
Chengdu Technology Innovation Research and Development Project(2024-YF05-01217-SN) （2024-YF05-01217-SN）
Chengdu Technology Innovation Re-search and Development Major Project(2024-YF08-00029-GX) （2024-YF08-00029-GX）
Open Foundation of Key Laboratory of Cyberspace Security of Ministry of Education of China and Henan Key Laboratory of Cyberspace Situation Awareness(KLCS20240106) （KLCS20240106）
Chengdu Reginal Science and Technology Innovation Coperation Project(2025-YF11-00031-HZ,2025-YF11-00050-HZ,2023-YF11-00020-HZ) （2025-YF11-00031-HZ,2025-YF11-00050-HZ,2023-YF11-00020-HZ）
College Student Innovation and Entrepreneurship Training Pro-gram Project(202410621195,202410621183) （202410621195,202410621183）
