{"title":"自动校准用于工程车辆定位的环境安装 3D 激光雷达组","authors":"Masahiro Inagawa, Keiichi Yoshizawa, Tomohito Kawabe, Toshinobu Takei","doi":"10.20965/jrm.2024.p0320","DOIUrl":null,"url":null,"abstract":"Research and development efforts have been undertaken to develop a method for accurately localizing construction vehicles in various environments using multiple 3D-LiDARs installed in the work environment. In this approach, it is important to calibrate the installed positions and orientations of the multiple LiDARs as accurately as possible to achieve high-accuracy localization. Currently, calibration is performed manually, which results in accuracy variance depending on the operator. Furthermore, manual calibration becomes more time consuming as the number of installed LiDARs increases. Conventional automatic calibration methods require the use of dedicated land markers because stable features are difficult to acquire in civil engineering sites in which the environment is altered by work. This paper proposes an automatic calibration method that calibrates the positions and orientations of 3D-LiDARs installed in the field using multiple construction vehicles on the construction site as land markers. To validate the proposed method, we conducted calibration experiments on a group of 3D-LiDARs installed on uneven ground using actual construction vehicles, and verified the calibration accuracy using a newly proposed accuracy evaluation formula. The results showed that the proposed method can perform sufficiently accurate calibration without the use of dedicated land markers in civil engineering sites, which increase costs and make features difficult to acquire.","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automatic Calibration of Environmentally Installed 3D-LiDAR Group Used for Localization of Construction Vehicles\",\"authors\":\"Masahiro Inagawa, Keiichi Yoshizawa, Tomohito Kawabe, Toshinobu Takei\",\"doi\":\"10.20965/jrm.2024.p0320\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Research and development efforts have been undertaken to develop a method for accurately localizing construction vehicles in various environments using multiple 3D-LiDARs installed in the work environment. In this approach, it is important to calibrate the installed positions and orientations of the multiple LiDARs as accurately as possible to achieve high-accuracy localization. Currently, calibration is performed manually, which results in accuracy variance depending on the operator. Furthermore, manual calibration becomes more time consuming as the number of installed LiDARs increases. Conventional automatic calibration methods require the use of dedicated land markers because stable features are difficult to acquire in civil engineering sites in which the environment is altered by work. This paper proposes an automatic calibration method that calibrates the positions and orientations of 3D-LiDARs installed in the field using multiple construction vehicles on the construction site as land markers. To validate the proposed method, we conducted calibration experiments on a group of 3D-LiDARs installed on uneven ground using actual construction vehicles, and verified the calibration accuracy using a newly proposed accuracy evaluation formula. The results showed that the proposed method can perform sufficiently accurate calibration without the use of dedicated land markers in civil engineering sites, which increase costs and make features difficult to acquire.\",\"PeriodicalId\":0,\"journal\":{\"name\":\"\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0,\"publicationDate\":\"2024-04-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.20965/jrm.2024.p0320\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20965/jrm.2024.p0320","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
人们一直在努力研发一种方法,利用安装在工作环境中的多个 3D 激光雷达在各种环境中准确定位工程车辆。在这种方法中,必须尽可能精确地校准多个激光雷达的安装位置和方向,以实现高精度定位。目前,校准是手动进行的,这会导致精度差异,具体取决于操作员。此外,随着已安装激光雷达数量的增加,手动校准变得更加耗时。传统的自动校准方法需要使用专用的土地标记,因为在土木工程现场很难获取稳定的地物,因为施工会改变环境。本文提出了一种自动校准方法,利用施工现场的多辆施工车辆作为土地标记,校准现场安装的三维激光雷达的位置和方向。为了验证所提出的方法,我们使用实际施工车辆对一组安装在不平整地面上的 3D-LiDAR 进行了校准实验,并使用新提出的精度评估公式验证了校准精度。结果表明,在土木工程现场,无需使用专门的土地标记,所提出的方法就能进行足够精确的校准。
Automatic Calibration of Environmentally Installed 3D-LiDAR Group Used for Localization of Construction Vehicles
Research and development efforts have been undertaken to develop a method for accurately localizing construction vehicles in various environments using multiple 3D-LiDARs installed in the work environment. In this approach, it is important to calibrate the installed positions and orientations of the multiple LiDARs as accurately as possible to achieve high-accuracy localization. Currently, calibration is performed manually, which results in accuracy variance depending on the operator. Furthermore, manual calibration becomes more time consuming as the number of installed LiDARs increases. Conventional automatic calibration methods require the use of dedicated land markers because stable features are difficult to acquire in civil engineering sites in which the environment is altered by work. This paper proposes an automatic calibration method that calibrates the positions and orientations of 3D-LiDARs installed in the field using multiple construction vehicles on the construction site as land markers. To validate the proposed method, we conducted calibration experiments on a group of 3D-LiDARs installed on uneven ground using actual construction vehicles, and verified the calibration accuracy using a newly proposed accuracy evaluation formula. The results showed that the proposed method can perform sufficiently accurate calibration without the use of dedicated land markers in civil engineering sites, which increase costs and make features difficult to acquire.