Paper Info
Title
Special Issue on 3D Sensing in Intelligent Transportation
Abstract
High-Accuracy and high-efficiency 3-D sensing and associated data processing techniques are urgently needed for today’s roadway inventory, infrastructure health monitoring, autonomous driving, connected vehicles, urban modeling, and smart cities. 3D geospatial data acquired by digital photogrammetry or laser scanning or LiDAR systems have become one of the most critical data sources to support the above-mentioned applications. While progress has been made to applying 3D sensory data to those applications related to intelligent transportation systems (ITS), such as road network extraction, platform localization, obstacle avoidance, high-definition map generation, and transportation infrastructure inventory, many essential questions remain regarding the processing and understanding such massive 3D datasets in ITS-related applications. The authors have selected four articles for review in this Special issue. A summary of these articles is outlined below.
Year
DOI
Venue
2021
10.1109/TITS.2021.3067396
IEEE Transactions on Intelligent Transportation Systems
DocType
Volume
Issue
Journal
22
4
ISSN
Citations 
PageRank 
1524-9050
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Chenglu Wen112119.17
Ayman F. Habib200.34
Jonathan Li3798119.18
Charles K. Toth4225.65
Cheng Wang521832.63
Hongchao Fan6177.44