Title
Vision-Based Positioning for Internet-of-Vehicles.
Abstract
This paper presents an algorithm for ego-positioning by using a low-cost monocular camera for systems based on the Internet-of-Vehicles. To reduce the computational and memory requirements, as well as the communication load, we tackle the model compression task as a weighted k-cover problem for better preserving the critical structures. For real-world vision-based positioning applications, we cons...
Year
DOI
Venue
2017
10.1109/TITS.2016.2570811
IEEE Transactions on Intelligent Transportation Systems
Keywords
Field
DocType
Three-dimensional displays,Vehicles,Solid modeling,Computational modeling,Global Positioning System,Image coding,Visualization
Hybrid positioning system,Computer vision,Simulation,Internet of Things,Monocular camera,Vision based,Global Positioning System,Artificial intelligence,Engineering,Model compression,Precise Point Positioning,The Internet
Journal
Volume
Issue
ISSN
18
2
1524-9050
Citations 
PageRank 
References 
3
0.38
24
Authors
7
Name
Order
Citations
PageRank
Kuan-Wen Chen11019.25
Chun-Hsin Wang230.38
Xiao Wei36011.63
Qiao Liang47719.86
Chu-Song Chen52071128.23
Yang Ming-Hsuan615303620.69
Yi-Ping Hung71743168.25