非均匀激光雷达数据提取道路标线的双自适应强度阈值法

IF 1 4区地球科学 Q4 GEOGRAPHY, PHYSICAL

Photogrammetric Engineering and Remote Sensing Pub Date : 2021-09-01 DOI:10.14358/pers.20-00099

C. Ye, Hongfu Li, Rui-long Wei, Lixuan Wang, Tianbo Sui, Wensen Bai, Pirasteh Saied

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引用次数: 2

摘要

由于点云的体积大、冗余度高，道路标线提取算法存在诸多困境，尤其是在不均匀激光雷达点云中。为了高效提取道路标线，提出了一种处理点云密度分布不均匀和道路标线反射强度高的新方法。该方法首先将点云数据分割成垂直于车辆轨迹的块。然后应用双自适应强度阈值法提取路面标线;最后，基于点云数据的密度分布进行自适应空间密度滤波，去除虚假道路标记点。道路标线提取的平均完备性、正确性和F测度分别为0.827、0.887和0.854，表明该方法具有较好的鲁棒性和有效性。

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Double Adaptive Intensity-Threshold Method for Uneven Lidar Data to Extract Road Markings

Due to the large volume and high redundancy of point clouds, there are many dilemmas in road-marking extraction algorithms, especially from uneven lidar point clouds. To extract road markings efficiently, this study presents a novel method for handling the uneven density distribution of point clouds and the high reflection intensity of road markings. The method first segments the point-cloud data into blocks perpendicular to the vehicle trajectory. Then it applies the double adaptive intensity-threshold method to extract road markings from road surfaces. Finally, it performs an adaptive spatial density filter based on the density distribution of point-cloud data to remove false road-marking points. The average completeness, correctness, and F measure of road-marking extraction are 0.827, 0.887, and 0.854, respectively, indicating that the proposed method is efficient and robust.

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来源期刊

Photogrammetric Engineering and Remote Sensing 地学-成像科学与照相技术

CiteScore

1.70

自引率

15.40%

发文量

审稿时长

9 months

期刊介绍： Photogrammetric Engineering & Remote Sensing commonly referred to as PE&RS, is the official journal of imaging and geospatial information science and technology. Included in the journal on a regular basis are highlight articles such as the popular columns “Grids & Datums” and “Mapping Matters” and peer reviewed technical papers. We publish thousands of documents, reports, codes, and informational articles in and about the industries relating to Geospatial Sciences, Remote Sensing, Photogrammetry and other imaging sciences.