Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W2, 145-146, 2016
https://doi.org/10.5194/isprs-archives-XLII-2-W2-145-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
06 Oct 2016
INDOOR MOBILE POSITIONING BASED ON LIDAR DATA AND CODED SEQUENCE PATTERN
Z. Wang, B. Dong, and D. Chen Northeastern University, No. 3-11, Wenhua Road, Heping District, Shenyang 110819, China
Keywords: LiDAR, Coded Sequence Pattern, Mobile Positioning, SLAM algorithm, POSIT algorithm Abstract. This paper proposed a coded sequence pattern for automatic matching of LiDAR point data, the methods including SIFT features, Otsu segmentation and Fast Hough transformation for the identification, positioning and interpret of the coded sequence patterns, the POSIT model for fast computing the translation and rotation parameters of LiDAR point data, so as to achieve fast matching of LiDAR point data and automatic 3D mapping of indoor shafts and tunnels.
Conference paper (PDF, 657 KB)


Citation: Wang, Z., Dong, B., and Chen, D.: INDOOR MOBILE POSITIONING BASED ON LIDAR DATA AND CODED SEQUENCE PATTERN, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W2, 145-146, https://doi.org/10.5194/isprs-archives-XLII-2-W2-145-2016, 2016.

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