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Pole-shaped Object Detection Using Mobile Lidar Data in Rural Road Environments : Volume Ii-3/W5, Issue 1 (19/08/2015)

By Yadav, M.

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Book Id: WPLBN0004013882
Format Type: PDF Article :
File Size: Pages 6
Reproduction Date: 2015

Title: Pole-shaped Object Detection Using Mobile Lidar Data in Rural Road Environments : Volume Ii-3/W5, Issue 1 (19/08/2015)  
Author: Yadav, M.
Volume: Vol. II-3/W5, Issue 1
Language: English
Subject: Science, Isprs, Annals
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2015
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

APA MLA Chicago

Lohani, B., Singh, A. K., Husain, A., & Yadav, M. (2015). Pole-shaped Object Detection Using Mobile Lidar Data in Rural Road Environments : Volume Ii-3/W5, Issue 1 (19/08/2015). Retrieved from http://www.ebooklibrary.org/


Description
Description: GIS Cell, Motilal Nehru National Institute of Technology, Allahabad, India. Pole-shaped objects (PSOs) located along a road play key role in road safety and planning. Automation is required for calculating the numbers of trees need to be removed and utility poles need to be relocated during rural road widening. Road-side poles are among the most frequently struck road-side objects during road-side accidents. An automatic method is therefore proposed for detecting PSOs using LiDAR point cloud captured along the roadway using Mobile LiDAR system. The proposed method is tested on the point cloud data of rural road environment in India. Dataset of study area having text file size of 1.22 GB is processed in 13 minutes resulting in completeness of 88.63 % and correctness of 95.12 % in identifying PSOs within 10m of the road boundary. In data of across road coverage of 5m of the road boundary, the completeness of 93.10 % and correctness of 100% are achieved. Poles attached with other objects, tilted poles and the poles occluded by tree branches and shrubs are detected by the proposed method.

Summary
POLE-SHAPED OBJECT DETECTION USING MOBILE LIDAR DATA IN RURAL ROAD ENVIRONMENTS

 

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