Title
3-D Road Boundary Extraction From Mobile Laser Scanning Data via Supervoxels and Graph Cuts.
Abstract
Effective extraction of road boundaries plays a significant role in intelligent transportation applications, including autonomous driving, vehicle navigation, and mapping. This paper presents a new method to automatically extract 3-D road boundaries from mobile laser scanning (MLS) data. The proposed method includes two main stages: supervoxel generation and 3-D road boundary extraction. Supervoxe...
Year
DOI
Venue
2018
10.1109/TITS.2017.2701403
IEEE Transactions on Intelligent Transportation Systems
Keywords
Field
DocType
Roads,Three-dimensional displays,Feature extraction,Data mining,Lasers,Clustering algorithms,Mobile communication
Cut,Computer vision,Data set,Computer science,Simulation,Correctness,Feature extraction,Artificial intelligence,Intelligent transportation system,Cluster analysis,Mobile telephony,Energy minimization
Journal
Volume
Issue
ISSN
19
3
1524-9050
Citations 
PageRank 
References 
4
0.39
20
Authors
7
Name
Order
Citations
PageRank
Dawei Zai1203.76
Jonathan Li2798119.18
Yulan Guo367250.74
Ming Cheng45413.93
Yangbin Lin5655.11
Huan Luo6778.33
Cheng Wang711829.56