App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 12

Multi-scale line-anchor dynamic guided method for taxiway line detection in airport scenes

Zhang Tao
Wang Zhuang
Xie Xianglei
Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China
DOI: 10.19734/j.issn.1001-3695.2026.03.0095

Abstract

Airport taxiway lines exhibit dense intersections and multi-directional forks, and suffer from marking degradation and environmental interference. Traditional detection methods show low accuracy and poor robustness in airport scenarios. To address these issues, this study proposed a taxiway line detection method based on multi-scale line-anchor dynamic guidance. The framework built on row-anchor classification. A decoupled cross-scale geometry-aware encoding mechanism flexibly captured geometric features via dynamic snake convolution. It refined detail perception in far-field regions and at local edge boundaries. Line anchors injected positional priors into the model decoding process, enabling targeted dynamic aggregation of slender, curved taxiway line information. The detection head employed the Hungarian algorithm. Global optimal bipartite matching eliminated supervision signal conflicts during training. Experimental results demonstrated high performance, yielding F1 scores of 87.61% on the self‑built airport taxiway line dataset, 88.07% on CurveLanes, and 79.94% on CULane respectively. Accuracy on the TuSimple dataset hit 96.42%. Results confirm that the method effectively enhances taxiway line detection performance in complex airport scenes. The approach provides reliable technical support for civil aircraft intelligent assisted driving.

Foundation Support

国家重点研发计划(2022YFB3904303)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2026.03.0095
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 12

Publish History

[2026-07-29] Accepted Paper

Cite This Article

章涛, 王壮, 谢向镭. 基于多尺度线锚动态引导的机场场面滑行道线检测方法 [J]. 计算机应用研究, 2026, 43 (12). (2026-08-25). https://doi.org/10.19734/j.issn.1001-3695.2026.03.0095. (Zhang Tao, Wang Zhuang, Xie Xianglei. Multi-scale line-anchor dynamic guided method for taxiway line detection in airport scenes [J]. Application Research of Computers, 2026, 43 (12). (2026-08-25). https://doi.org/10.19734/j.issn.1001-3695.2026.03.0095. )

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  • Application Research of Computers Monthly Journal
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    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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