EffFeu项目:工业消防无人机的高效操作

Proceedings of the 4th ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications Pub Date : 2018-06-10 DOI:10.1145/3213526.3213533

Christopher-Eyk Hrabia, Axel Heßler, Yuan Xu, Jan Brehmer, S. Albayrak

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引用次数: 11

摘要

近年来，支持救援部队的无人机系统(UAS)应用数量不断增长。对感知信息的分析和无人机的控制给相关人员带来了巨大的心理和情感负担，特别是在危急和紧张的情况下。为了实现无人机的任务导向应用，减少人工控制和分析的负担，研究项目EffFeu(工业消防无人机的高效操作)旨在将无人机整体集成到工业消防人员的日常工作中。这项工作介绍了项目的当前阶段，包括总体系统架构和项目研究课题的初步成果:无人机的高级任务控制，室内和室外环境过渡中的定位和导航，以及物体和情况识别。

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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EffFeu project: Efficient Operation of Unmanned Aerial Vehicles for Industrial Fire Fighters

The number of unmanned aerial system (UAS) applications for supporting rescue forces is growing in recent years. The analysis of sensed information and control of the UAV creates an enormous psychological and emotional load for the involved humans especially in critical and hectic situations. To enable a mission-guided application of drones and reduce the load of manual control and analysis, the research project EffFeu (Efficient Operation of Unmanned Aerial Vehicle for Industrial Fire Fighters) aims for a holistic integration of UAS in the daily work of industrial fire fighters in particular. This work presents the current stage of the project including the overall system architecture and first results of the project research topics: high-level task control of UAV, localisation and navigation in the transition of indoor and outdoor environments, and objects and situation recognition.

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Proceedings of the 4th ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications

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