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Optimizing Detection of Road Furniture (Pole-like Object) in Mobile Laser Scanner Data : Volume Ii-5/W2, Issue 1 (16/10/2013)

By Li, D.

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Book Id: WPLBN0004014089
Format Type: PDF Article :
File Size: Pages 6
Reproduction Date: 2015

Title: Optimizing Detection of Road Furniture (Pole-like Object) in Mobile Laser Scanner Data : Volume Ii-5/W2, Issue 1 (16/10/2013)  
Author: Li, D.
Volume: Vol. II-5/W2, Issue 1
Language: English
Subject: Science, Isprs, Annals
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2013
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

APA MLA Chicago

Elberink, S. O., & Li, D. (2013). Optimizing Detection of Road Furniture (Pole-like Object) in Mobile Laser Scanner Data : Volume Ii-5/W2, Issue 1 (16/10/2013). Retrieved from http://ebook2.worldlibrary.net/


Description
Description: Faculty of Geo-information Science and Earth Observation (ITC), University of Twente, P.O. Box 217, 7500 AE Enschede, the Netherlands. Due to the road safety problem is becoming more and more serious recent years, existing road safety assessment by using automatic method is necessary. Meanwhile, since the pole-like objects have large effect on road safety and are in high demand as facilities to be managed, the automatic pole-like objects extraction is becoming a hot issue. As a result, a robust, quick and automatic pole-like object detection algorithm in MLS data is proposed in this paper. Two datasets are tested to show performance of the proposed algorithm, it demonstrates that it is feasible to detect tree with an overall accuracy of over 92% and other pole-like object of 72% in dataset A and 82% of tree points and 75% of other pole points in dataset B.

Summary
Optimizing detection of road furniture (pole-like object) in Mobile Laser Scanner data

 

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