Abstract | ||
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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 |
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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 Chen | 1 | 101 | 9.25 |
Chun-Hsin Wang | 2 | 3 | 0.38 |
Xiao Wei | 3 | 60 | 11.63 |
Qiao Liang | 4 | 77 | 19.86 |
Chu-Song Chen | 5 | 2071 | 128.23 |
Yang Ming-Hsuan | 6 | 15303 | 620.69 |
Yi-Ping Hung | 7 | 1743 | 168.25 |