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Gas sensing on unmanned vehicles: challenges and opportunities

机译:无人驾驶车辆的气体感应:挑战和机遇

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Unmanned aerial vehicles are aggressively entering many fields of scientific research thanks to their versatility, relatively low cost and ease of customization. Among all the envisioned applications, environmental monitoring and disaster recovery are very interesting and promising. In this scenario, drones instrumented with environmental sensors are driven into contaminated or inaccessible areas to collect samples (air, water, soil, etc.) and to estimate their wholesomeness, before human intervention. Many challenges are still open in this field, from the design of a suitable artificial intelligence for autonomous driving to the maximization of energy autonomy. In this paper we focus on the interface between gas sensors and drone equipment, in particular we discuss the issue of minimizing the weight of the payload and the accuracy of the measurement, processing and streaming relevant data to the final users. A prototype gas-drone based on a micro drone platform has been realized and used to investigate challenges and to identify opportunities.
机译:无人驾驶的航空公司由于其多功能性,相对较低的成本和易于定制而积极进入许多科学研究领域。在所有设想的申请中,环境监测和灾难恢复都非常有趣和有前景。在这种情况下,用环境传感器仪器的无人机被驱逐成污染或无法进入的区域,以收集样品(空气,水,土壤等)并在人为干预之前估算其批发。这种挑战仍然在这一领域开放,从设计适当的人工智能,以便自动驱动到能源自主的最大化。在本文中,我们专注于气体传感器和无人机设备之间的界面,特别是我们讨论最小化有效载荷权重以及测量,处理和流相关数据的准确性到最终用户的问题。已经实现了基于微无人机平台的原型气体无人机,并用于调查挑战并识别机会。

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