移动通信2023，Vol.47Issue(12)：55-59,5.DOI:10.3969/j.issn.1006-1010.20231102-0001
基于可见光定位技术的车联网车辆位姿监测方法
A VLP-Based Approach for Precise Vehicle Pose Monitoring in Connected Vehicles
摘要
Abstract
This paper presents a method for precise monitoring of vehicle position and orientation in intelligent transportation systems within the field of vehicular ad-hoc networks(VANETs).This approach utilizes the visible light positioning(VLP)technology to meet the requirements of modern VANET applications.The method employs an inertial measurement unit(IMU),a monocular camera,and visible light sources,and fuses the data from camera and IMU through a noise-free Kalman filter,i.e.,the unscented Kalman filter(UKF),thereby achieving positioning and orientation tracking of vehicles equipped with visible light sources.This VLP-based approach is independent within the VANET application and thus eliminates the dependence on the global navigation satellite system(GNSS).Therefore,it is well-suited for complex urban environments,including tunnels,underground parking lots,and urban canyons.关键词
车辆位姿监测/可见光定位/无迹卡尔曼滤波器Key words
vehicle pose monitoring/visible light positioning/unscented Kalman filter分类
信息技术与安全科学引用本文复制引用
谢心月,邹德岳,刘源..基于可见光定位技术的车联网车辆位姿监测方法[J].移动通信,2023,47(12):55-59,5.基金项目
国家自然科学基金"基于手性光源的视觉导航通信一体化构建方法"(62171075) （62171075）
