Detection of pole-like objects from lidar data  

Oleh:

Landa, Jaromír ; Ondroušek, Vít

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Procedia - Social and Behavioral Sciences vol. 220 (May 2016), page 1-10.
Topik: point cloud; LIDAR; pole-like objects; poles detection; laser scanning; mobile mappings
Fulltext: Procedia v220 Page 226.pdf (386.63KB)

Isi artikel

This paper presents novel approach for detection of pole-like objects from LIDAR data. The designed method uses directional vector to detect pole-like structures in unordered point clouds. A new segmentation algorithm is presented as well. The segmentation is designed to overcome a common problem found in LIDAR data of urban environments, where a lot of poles are connected together with various types of wires. The method is tested on real world point clouds captured during mobile mapping process.

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