Multisensor information fusion:Future of environmental perception in intelligent vehicles

作     者：Yongsheng Zhang Chen Tu Kun Gao Liang Wang 

作者机构：CRRC Qishuyan Institute Co.Ltd.Changzhou 213011China School of Information Science and EngineeringSoutheast UniversityNanjing 211189China Department of Architecture and Civil EngineeringChalmers University of TechnologyGothenburg SE-41296Sweden School of Vehicle and MobilityTsinghua UniversityBeijing 100084China 

出 版 物：《Journal of Intelligent and Connected Vehicles》 (智能网联汽车（英文）)

年 卷 期：2024年第7卷第3期

页      面：163-176页

核心收录：

学科分类：082304[工学-载运工具运用工程] 080202[工学-机械电子工程] 08[工学] 080204[工学-车辆工程] 0802[工学-机械工程] 0823[工学-交通运输工程] 

基　　金：supported by the National Key R&D Program of China(Grant No.2023YFB4301804) the National Natural Science Foundation of China(Grant Nos.52220105001 and 52221005) 

主　　题：intelligent vehicles environmental perception multisensor information fusion autonomous driving traffic safety 

摘      要：As urban transportation increasingly impacts daily life,efficiently utilizing traffic resources and developing public transportation have become crucial for addressing issues such as congestion,frequent accidents,and noise *** rapid advancement of intelligent autonomous driving technologies,particularly environmental perception technologies,offers new directions for solving these *** review discusses the application of multisensor information fusion technology in environmental perception for intelligent vehicles,analyzing the components and performance of various sensors and their specific applications in autonomous *** multisensor information fusion,the accuracy of environmental perception is enhanced,optimizing decision support for autonomous driving systems and thereby improving vehicle safety and driving *** study also discusses the challenges faced by information fusion technology and future development trends,providing references for further research and application in intelligent transportation systems.