Automatic visual detection and verification of exterior aircraft elements

Javier Leiva, Tanguy Villemot, Guillaume Dangoumeau, Marie-Anne Bauda, Stanislas Larnier
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引用次数: 15

Abstract

The French Air-Cobot project aims to improve preflight maintenance and provide a traceability of the performed checks. To do so, a collaborative mobile robot has been built. One of its non-destructive sensors is a pan-tilt-zoom camera. Visual inspection needs to be easy to apply and quickly carried due to time constraints on the airport. The robot is able to navigate autonomously around the aircraft, stop at checking positions and point the camera towards the region of interest. Items to inspect can be detected in the image acquisition thanks to some knowledge on those items. This knowledge has various forms: picture database, three dimensional models, aircraft markings, item configurations and marking dispositions. During its inspection tasks, the robot can warn its human operator that something is wrong and if possible ask for a fast human intervention for examples if there is still the chock in front of the landing gear or the protection on a pitot probe. At the end, it provides all its diagnoses and asks the human operator to validate or refute each of them. The article proposes fast visual detections and verifications of exterior aircraft elements. Previous researches focus more on static inspection, results in dynamic cases are also provided.
飞机外部元件的自动视觉检测和验证
法国Air-Cobot项目旨在改善飞行前维护,并提供已执行检查的可追溯性。为了做到这一点,一个协作移动机器人已经被制造出来。它的一个非破坏性传感器是一个泛倾斜变焦相机。由于机场的时间限制,目视检查需要易于申请并快速进行。该机器人能够在飞机周围自主导航,在检查位置时停下来,并将摄像机指向感兴趣的区域。在图像采集过程中,通过对需要检测的物体的一些了解,可以检测到需要检测的物体。这种知识有多种形式:图片数据库、三维模型、飞机标记、项目配置和标记配置。在执行检查任务时,机器人可以警告操作员有问题,并在可能的情况下要求快速的人工干预,例如,如果起落架前的密封圈仍然存在,或者皮托管探头上的保护装置仍然存在。最后,它提供所有的诊断,并要求人类操作员验证或反驳每一个诊断。本文提出了飞机外部构件的快速视觉检测与验证方法。以往的研究多集中在静态检测上,也有动态情况下的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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