Real-Time Multi-Car Localization and See-Through System

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In this paper, we propose a multi-vehicle localization approach relying exclusively on cameras installed on connected cars (e.g. vehicles with Internet access). The proposed method is designed to perform in real-time while requiring a low bandwidth connection as a result of an efficient distributed architecture. Hence, our approach is compatible with both LTE Internet connection and local Wi-Fi networks. To reach this goal, the vehicles share small portions of their respective 3D maps to estimate their relative positions. The global consistency between multiple vehicles is enforced via a novel graph-based strategy. The efficiency of our system is highlighted through a series of real experiments involving multiple vehicles. Moreover, the usefulness of our technique is emphasized by an innovative and unique multi-car see-through system resolving the inherent limitations of the previous approaches. A video demonstration is available via: https://youtu.be/GD7Z95bWP6k.
Publisher
SPRINGER
Issue Date
2022-02
Language
English
Article Type
Article
Citation

INTERNATIONAL JOURNAL OF COMPUTER VISION, v.130, no.2, pp.384 - 404

ISSN
0920-5691
DOI
10.1007/s11263-021-01558-5
URI
http://hdl.handle.net/10203/292401
Appears in Collection
EE-Journal Papers(저널논문)
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