A road intersection matching method based on triangular structure

Min Wang; Xiaoyu Chang; Kang Sun; Jinyong Chen; Fangde Sun; Yu Liu; Gang Wang; Mengyue Zhang

doi:10.1117/12.3050020

8 November 2024 A road intersection matching method based on triangular structure

Min Wang, Xiaoyu Chang, Kang Sun, Jinyong Chen, Fangde Sun, Yu Liu, Gang Wang, Mengyue Zhang

Proceedings Volume 13416, Fourth International Conference on Advanced Algorithms and Neural Networks (AANN 2024); 134163U (2024) https://doi.org/10.1117/12.3050020
Event: 2024 4th International Conference on Advanced Algorithms and Neural Networks, 2024, Qingdao, China

Abstract

In the UAV visual navigation and positioning system, the topological relationship between road intersections can provide an important basis for remote sensing image matching and localization. Therefore, this study proposes a road intersection matching method based on triangular structure, which constructs a semantic expression library of road intersection targets as a benchmark database for road intersection matching; and then formulates a matching strategy based on the triangular similarity principle with the salient features between road intersections to complete the accurate and efficient localization of road intersections. The simulation experiment results show that this algorithm is stable and robust, and is not affected by brightness, noise and view angle. Under the 6Km*6Km large scene matching condition, it takes 7.8S from intersection detection to intersection geolocation localization, correctly matches 8 road intersections, and meets the UAV localization requirements.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Min Wang, Xiaoyu Chang, Kang Sun, Jinyong Chen, Fangde Sun, Yu Liu, Gang Wang, and Mengyue Zhang "A road intersection matching method based on triangular structure", Proc. SPIE 13416, Fourth International Conference on Advanced Algorithms and Neural Networks (AANN 2024), 134163U (8 November 2024); https://doi.org/10.1117/12.3050020

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KEYWORDS

Roads

Unmanned aerial vehicles

Remote sensing

Semantics

Navigation systems

Computer simulations

Detection and tracking algorithms

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