Title | ||
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3-D Road Boundary Extraction From Mobile Laser Scanning Data via Supervoxels and Graph Cuts. |
Abstract | ||
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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 Zai | 1 | 20 | 3.76 |
Jonathan Li | 2 | 798 | 119.18 |
Yulan Guo | 3 | 672 | 50.74 |
Ming Cheng | 4 | 54 | 13.93 |
Yangbin Lin | 5 | 65 | 5.11 |
Huan Luo | 6 | 77 | 8.33 |
Cheng Wang | 7 | 118 | 29.56 |