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The Use of Automatic Object Detection Signals from Smart Cameras to Enhance Bridge Operators' Situation Awareness

机译:使用来自智能相机的自动对象检测信号来增强桥梁运营商的情况意识

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Errors in bridge/lock operations can have fatal consequences, which means adequate situation awareness (SA) is crucial during operators' inspection process. Although operators from Rijkswaterstaat are well-trained and use carefully designed systems, accident reports revealed that SA is not always sufficient. Rijkswaterstaat considers smart cameras to support operators during their inspection process. Smart cameras have high detection rates, but they are not yet able to detect all relevant circumstances. This study therefore investigates whether reliable but partially inaccurate smart cameras enhance operators' SA. Performance, eye movements and subjective SA were measured during an experiment. Results indicate that the applied (simulated) signals enhanced operators' performance, which suggests SA was higher when assisted by smart cameras. Dwell time and time to first fixation revealed that signals were effective in gaining operators' attention, and operators still actively searched for road users without awaiting signals. Subjective SA was not different when smart cameras were used.
机译:桥/锁操作中的错误可能具有致命后果,这意味着在运营商的检查过程中的充分情况意识(SA)至关重要。虽然来自Rijkswaterstaat的运营商是训练有素的,但经过精心设计的系统,但事故报告显示SA并不总是足够的。 RIJKSWATESTAAT考虑智能摄像机在检验过程中支持运营商。智能摄像机具有高检测率,但尚未能够检测到所有相关情况。因此,本研究调查了是否可靠但部分不准确的智能相机增强运营商SA。在实验期间测量了性能,眼睛运动和主观SA。结果表明,应用(模拟)信号增强了运营商的性能,这在智能摄像机辅助时建议SA更高。停留时间和时间来首次固定透露,信号在获得运营商的注意力方面有效,并且操作员仍然积极寻找道路使用者而不等待信号。当使用智能摄像头时,主观SA没有差异。

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