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作 者:刘凌杰 周广华[1] 田泽海[1] 梁智勇[1] 马大伟 Liu Lingjie;Zhou Guanghua;Tian Zehai;Liang Zhiyong;Ma Dawei(Guangzhou Urban Planning&Design Survey Research Institute,Guangzhou 510060,China;Collaborative Innovation Center for Natural Resources Planning and Marine Technology of Guangzhou,Guangzhou 510060,China;Guangdong Enterprise Key Laboratory for Urban Sensing,Monitoring and Early Warning,Guangzhou 510060,China)
机构地区:[1]广州市城市规划勘测设计研究院,广州510060 [2]广州市资源规划和海洋科技协同创新中心,广州5100603 [3]广东省城市感知与监测预警企业重点实验室,广州510060
出 处:《工程勘察》2024年第12期40-46,共7页Geotechnical Investigation & Surveying
基 金:广州市资源规划和海洋科技协同创新中心项目(2023B04J0301);广东省重点领域研发计划资助(2020B0101130009);广东省城市感知与监测预警企业重点实验室基金项目(2020B121202019)资助。
摘 要:针对规划条件核实测量中,地下空间多车位线测量时效率低的问题,提出一种基于彩色点云的地下空间多车位线精确测量方法。首先,通过手持激光扫描仪获取地库点云数据,将地库的地面点云转为正射影像;然后,使用HSV颜色空间对车位线进行提取,结合霍夫变换和车位设计尺寸初步提取车位角点位置;最后,根据本文提出的点云特征对角点初步位置邻域内所有点云进行判定,得到角点最终位置。实验结果表明,本文方法能够满足规划条件核实测量的要求,相比于传统作业方法,在效率上具有显著优势。In the verifying measurement of planning conditions,measuring the size of parking spaces one by one is time-consuming.To overcome this problem,this paper proposes a method that detects and measures multi-parking space in underground environment based on colored point clouds.Firstly,point clouds of underground parking lots are acquired by a handheld laser scanner.Ground point clouds are extracted and transformed into a 2D image.Then,parking space lines are detected using HSV color models.And the corners of parking space are located preliminarily by combining Hough transform and the size of parking space in design.Finally,point clouds within the neighborhood of preliminary corner locations are judged whether it is a corner point according to features proposed in the paper.The experimental results show that compared with the traditional methods,the algorithm can efficiently measure the size of parking space in underground and the accuracy meets the requirements in the verifying measurement of planning conditions.
关 键 词:停车位 地下车库 三维激光扫描 规划条件核实测量
分 类 号:TP79[自动化与计算机技术—检测技术与自动化装置]
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