华侨大学学报（自然科学版）2025，Vol.46Issue(5)：481-492,12.DOI:10.11830/ISSN.1000-5013.202508036
跨模态车辆再辨识方法、挑战与未来发展
Cross-Modal Vehicles Re-Identification Methods,Challenges,and Future Developments
摘要
Abstract
Vehicle re-identification aims to achieve identity matching and retrieval across non-overlapping cam-era views based on vehicle appearance features.It holds significant research importance and broad application potential in fields such as smart cities and intelligent transportation.However,traditional single-modal re-i-dentification methods based on visible light suffer severe performance degradation under low-visibility night scenes,headlight glare interference,and adverse weather conditions,which limits their applicability in com-plex environments.To address these limitations,cross-modal vehicle re-identification has emerged and a-chieved rapid progress.This paper first presents the research background of cross-modal vehicle re-identifica-tion techniques and categorizes existing studies into two main application scenarios:visible-infrared vehicle re-identification and text-image vehicle re-identification.The advantages and limitations of representative methods in each scenario are systematically analyzed,followed by a summary of their performance on multiple public datasets.Finally,the key challenges in this field are discussed,and potential future research directions are outlined,aiming to provide a clear overview of evolution of cross-modal vehicle re-identification techniques and offer insights for subsequent studies.关键词
车辆再辨识/多模态感知/跨模态匹配/"人工智能+"Key words
vehicle re-identification/multimodal perception/cross modal matching/"artificial intelligence+"分类
计算机与自动化引用本文复制引用
苏嘉骏,詹思敏,朱建清,崔晓琳..跨模态车辆再辨识方法、挑战与未来发展[J].华侨大学学报（自然科学版）,2025,46(5):481-492,12.基金项目
福建省科技兴警研究计划项目(2024Y0064) （2024Y0064）
福建省自然科学基金杰出青年科研项目(2022J06023) （2022J06023）
福建省泉州市高层次人才创新创业项目(2023C013) （2023C013）
