The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B2-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 325–331, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-325-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 325–331, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-325-2020

  12 Aug 2020

12 Aug 2020

SCANLINE NORMALIZATION FOR MMS DATA MEASURED UNDER DIFFERENT CONDITIONS

G. Takahashi1,2 and H. Masuda1 G. Takahashi and H. Masuda
  • 1Dept. of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo, Japan
  • 2Dept. of R&D, KOKUSAI KOGYO CO., LTD., 2-24-1 Harumi-cho, Fuchu-shi, Tokyo, 183-0057, Japan

Keywords: MMS, LiDAR, Scanlines, Normalize, Road boundary, Mapping

Abstract. Mobile Mapping System (MMS) equipped with a high-density LiDAR scanner is widely used for mapping. Various automatic mapping methods have been proposed for point clouds measured by the high-density LiDAR scanner on the MMS. However, careful parameter tuning is often required according to measurement conditions. In this paper, we propose a method to generate normalized scanlines from point clouds captured using the MMS. Normalized scanlines are useful to avoid parameter tuning depending on the measurement conditions. In order to evaluate the validity of our method, we extracted road boundaries with the same parameters from two point clouds measured under different conditions. In our evaluation, our method could detect almost the same road boundaries from the two point clouds using the same parameter settings.