通信学报2024，Vol.45Issue(6)：131-143,13.DOI:10.11959/j.issn.1000-436x.2024038
面向无人智能小车的双验证安全定位方法
Dual-verified secure localization method for unmanned intelligent vehicles
摘要
Abstract
Unmanned intelligent vehicles are exposed to high risks of network attack,hardware attack,operating system attack and software attack.They are susceptible to physical or remote security attacks,causing it to deviate from the de-livery trajectory and fail the delivery task,or even be manipulated to disrupt normal operation of the factory.To address this problem,a dual-verified secure localization method for unmanned intelligent vehicles was proposed.The existing Wi-Fi network infrastructure was utilized by the vehicles for fingerprinting localization and a feature fusion strategy was designed to realize the dynamic fusion of Wi-Fi and magnetic field fingerprints.Multiple environmental monitoring points were deployed to collect the sound signals made by vehicles to calculate the position based on time difference of arrival and spatial segmentation method.Then the location reported by the vehicle was compared with the result of moni-toring points for verification.Once an abnormal position was detected,an alert would be issued,ensuring the normal op-eration of the unmanned intelligent vehicles.The experimental results in the real indoor scenarios show that the proposed method can effectively track the positions of the target unmanned intelligent vehicle,and the positioning accuracy is bet-ter than existing benchmark algorithms.关键词
无人智能小车/室内定位/Wi-Fi指纹/磁场指纹/声源定位Key words
unmanned intelligent vehicles/indoor positioning/Wi-Fi fingerprint/magnetic field fingerprint/acoustic source localization分类
信息技术与安全科学引用本文复制引用
顾晓丹,夏国正,宋炳辰,杨明,罗军舟..面向无人智能小车的双验证安全定位方法[J].通信学报,2024,45(6):131-143,13.基金项目
国家自然科学基金资助项目(No.62072102,No.62132009,No.62102084)The National Natural Science Foundation of China(No.62072102,No.62132009,No.62102084) （No.62072102,No.62132009,No.62102084）
