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Document type:
Zeitschriftenaufsatz 
Author(s):
Yao, W.; Hinz, S.; Stilla, U. 
Title:
Automatic vehicle extraction from airborne LiDAR data of urban areas aided by geodesic morphology 
Abstract:
In this study, we address one of the key issues in traffic monitoring of urban areas using airborne laser scanning (ALS) data – vehicle extraction. Our aim is to automatically segment point sets of single vehicles solely relying on the geometric components of ALS data. To tackle the complexity of vehicle appearance in ALS data, a context-guided approach based on geometric model of vehicle is proposed to accomplish the task. Ground level separation is firstly used to exclude the irrelevant object...    »
 
Keywords:
Airborne LiDAR Urban areas Vehicle extraction Context Geodesic morphology 
Journal title:
Pattern Recognition Letters 
Year:
2010 
Pages contribution:
1100--1108