Contactless recognition technology of pedestrian lateral excitation based on dual perspective of mediapipe

IF 2.1 4区 工程技术 Q2 CONSTRUCTION & BUILDING TECHNOLOGY
Buyu Jia, Yingfeng He, Yangwen Chen, Zhaozhe Chen, Xiaolin Yu
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引用次数: 0

Abstract

The remarkable lateral oscillatory occurrences observed in renowned footbridges, such as the Solferino Bridge in France, the Millennium Bridge in the UK, and the Oda Bridge in Japan, have garnered widespread attention. The intricate nature of pedestrian-induced lateral vibrations necessitates a comprehensive investigation into their underlying mechanisms, with the crux lying in the identification of the lateral excitation model. Presently, most prevailing detection approaches predominantly rely on contact-based equipment, such as force sensors and displacement sensors. However, these approaches suffer from two main drawbacks. Firstly, contact measurement necessitate a substantial number of sensors and entail higher experimental costs. Secondly, when extending contact-based measurements to accommodate multiple individuals, complications arise, including cumbersome installation, heightened technical complexity, and escalated experimental costs. Therefore, we present a novel approach, based on visual technology, to expeditiously recognize the lateral excitation induced by pedestrians. Termed the Dual Perspective of Mediapipe (DPM), this method harnesses the power of Mediapipe, coupled with dual camera models, to precisely unravel pedestrian gait particulars and lateral forces. The efficacy of the proposed approach is validated through a comparative analysis with existing pedestrian gait data. It is noteworthy that this approach offers significant advantages: non-contact with the test pedestrians, thereby ensuring the accuracy of gait information; convenient and straightforward arrangement of measurement equipment; and low experimental costs.
基于 mediapipe 双视角的行人横向激励非接触式识别技术
在法国索尔费里诺大桥、英国千禧大桥和日本织田大桥等著名人行天桥上观察到的显著横向振动现象已引起广泛关注。行人诱发横向振动的性质错综复杂,因此有必要对其基本机制进行全面研究,而关键在于确定横向激励模型。目前,大多数流行的检测方法主要依赖于接触式设备,如力传感器和位移传感器。然而,这些方法有两个主要缺点。首先,接触式测量需要大量传感器,实验成本较高。其次,在将接触式测量扩展到多个个体时,会出现一些复杂问题,包括安装繁琐、技术复杂性增加和实验成本上升。因此,我们提出了一种基于视觉技术的新方法,用于快速识别行人引起的横向激励。这种方法被称为 Mediapipe 双视角(DPM),它利用 Mediapipe 的强大功能和双摄像头模型,精确地揭示了行人的步态特征和侧向力。通过与现有行人步态数据的对比分析,验证了所提方法的有效性。值得注意的是,这种方法具有以下显著优势:不接触测试行人,从而确保步态信息的准确性;测量设备布置方便、简单;实验成本低。
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来源期刊
Advances in Structural Engineering
Advances in Structural Engineering 工程技术-工程:土木
CiteScore
5.00
自引率
11.50%
发文量
230
审稿时长
2.3 months
期刊介绍: Advances in Structural Engineering was established in 1997 and has become one of the major peer-reviewed journals in the field of structural engineering. To better fulfil the mission of the journal, we have recently decided to launch two new features for the journal: (a) invited review papers providing an in-depth exposition of a topic of significant current interest; (b) short papers reporting truly new technologies in structural engineering.
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