公路建造风险目标的视觉辨识与跟踪研究进展
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作者单位:

(哈尔滨工业大学 交通科学与工程学院,黑龙江 哈尔滨 150090)

作者简介:

李顺龙(1982—),男,哈尔滨工业大学教授。E-mail:lishunlong@hit.edu.cn

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中图分类号:

U415.6

基金项目:

国家自然科学基金优秀青年基金(51922034)


Research progress of vision-based identification and tracking of highway construction risk targets
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(School of Transportation Science and Engineering,Harbin Institute of Technology,Harbin 150090, China)

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    摘要:

    智能辨识与跟踪公路建造过程中的风险目标是安全建造、智能管理的基础,也是公路智能建造的重要内容之一。随着计算机视觉技术的快速发展,国内外许多学者发展了以图像或视频为数据载体,融合计算机视觉智能算法的风险目标辨识与跟踪技术。该研究梳理了基于计算机视觉的公路智能建造风险目标辨识与跟踪领域的研究进展。分别从建造场地重建、风险目标智能辨识与风险目标智能跟踪三方面进行阐述,并对具有代表性研究进行回顾和分析,同时指出现有研究存在的局限和未来研究的方向。

    Abstract:

    The intelligent identification and tracking of risk targets in highway construction process is the decision-making basis of intelligent management of construction safety and one of the important contents of intelligent construction. With the rapid development of computer vision technology, researchers have developed many risk target identification and tracking technologies with computer vision algorithms that used images or videos as data carriers. This paper systematically reviews the recent research progress in the field of risk target identification and tracking of intelligent highway construction based on computer vision. The construction site reconstruction, risk target intelligent identification and risk target intelligent tracking are classified and elaborated, and the representative work is reviewed and analyzed. Furthermore, the limitations of current research and the future development direction are pointed out.

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引用本文

李顺龙,郭亚朋.公路建造风险目标的视觉辨识与跟踪研究进展[J].交通科学与工程,2023,39(6):1-11,32.
LI Shunlong, GUO Yapeng. Research progress of vision-based identification and tracking of highway construction risk targets[J]. Journal of Transport Science and Engineering,2023,39(6):1-11,32.

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  • 收稿日期:2023-08-19
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  • 在线发布日期: 2024-01-16
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