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Door Detection Algorithm Development Based on Robotic Vision and Experimental Evaluation on Prominent Embedded Systems

机译:基于机器人视觉的门检测算法开发及嵌入式系统的实验评估

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Accurate and reliable door detection comprise a critical cornerstone for nowadays robots aiming to offer advanced features and services. At the same time, the range of robotic platforms for indoor scenarios is continuously expanding, emphasizing on the use of low cost, versatile components able to boost widespread use of such solutions. However, respective door detection algorithms have to address specific challenges such as, not relying on specialized expensive sensors, being able to offer robust and accurate operation based on commodity cameras as well as efficient execution on low resource embedded systems. Driven by aforementioned observations in this paper the design and development of a practical and reliable door detection methodology is presented based solely on typical off the shelf web-camera, while posing minimum requirements on the height or angle it is mounted. Furthermore, a critical contribution of this paper is the experimental evaluation of the developed algorithm on popular embedded systems that are based on Micro Controller Units (MCUs) commonly found on contemporary robotic platforms.
机译:准确可靠的门检测是当今旨在提供高级功能和服务的机器人的关键基石。同时,针对室内场景的机器人平台的范围也在不断扩大,重点是使用低成本,通用组件,这些组件能够促进此类解决方案的广泛使用。但是,相应的门检测算法必须解决特定的挑战,例如不依赖于昂贵的专用传感器,能够基于商用相机提供可靠而准确的操作以及在低资源嵌入式系统上的高效执行。在本文的上述观察结果的推动下,仅基于典型的现成网络摄像头,提出了一种实用且可靠的门检测方法的设计和开发,同时对其安装的高度或角度提出了最低要求。此外,本文的关键贡献是在基于现代机器人平台上常见的微控制器单元(MCU)的流行嵌入式系统上对所开发算法的实验评估。

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