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Towards Computational Models of Insect Motion Detectors for Robot Vision

机译:面向机器人视觉的昆虫运动检测器的计算模型

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In this essay, we provide a brief survey of computational models of insect motion detectors and bio-robotic solutions to build efficient and reliable motion-sensing systems. Vision is an important sensing modality for autonomous robots, since it can extract abundant motion features from a visually cluttered and dynamic environment. However, modelling a dynamic vision system for motion detection in both a cheap and robust manner is still an open challenge. In nature, animals, that have experienced millions of years of evolutionary development, can be prominent models to study motion-detecting strategies. This essay introduces a few state-of-the-art bio-inspired motion detectors and corresponding robotic applications, in order to demonstrate the effectiveness of mimicking insect motion perception strategies for robot vision and gather cross-disciplinary attention.
机译:在本文中,我们对昆虫运动检测器的计算模型和生物机器人解决方案进行了简要概述,以构建高效,可靠的运动传感系统。视觉是自主机器人的重要传感方式,因为它可以从视觉混乱和动态的环境中提取丰富的运动特征。然而,以廉价和健壮的方式对动态视觉系统进行运动检测建模仍然是一个开放的挑战。在自然界中,经历了数百万年进化发展的动物可以成为研究运动检测策略的杰出模型。本文介绍了一些最先进的生物启发式运动检测器以及相应的机器人应用,以证明模仿昆虫运动感知策略来实现机器人视觉并吸引跨学科注意力的有效性。

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