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  • 标题:LiDAR Based Obstacle detection for Snow Groomers
  • 本地全文:下载
  • 作者:L. Onesto ; M. Corno ; L. Franceschetti
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:15469-15474
  • DOI:10.1016/j.ifacol.2020.12.2370
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper presents an obstacle detection system for snow groomers. The system is based on a 2D solid-states LiDAR sensor mounted on the top of the cabin. The measurements describe the surrounding environment through an Occupancy Grid framework, which is extended for this particular case study. The proposed approach set the occupancy probability of the surrounding environment based on the expected height of the obstacle. The method is extensively analyzed through experimental test on a snow groomer.
  • 关键词:KeywordsRobot navigationEstimation AlgorithmsNavigation systemObstacle detection
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