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Super-Resolution for Flash LADAR Data

机译:闪存LADAR数据的超分辨率

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摘要

Flash laser detection and ranging (LADAR) systems are increasingly used in robotics applications for autonomous navigation and obstacle avoidance. Their compact size, high frame rate, wide field of view, and low cost are key advantages over traditional scanning LADAR devices. However, these benefits are achieved at the cost of spatial resolution. Super-resolution enhancement can be applied to improve the resolution of flash LADAR devices, making them ideal for small robotics applications. Previous work by Rosenbush et al. applied the super-resolution algorithm of Vandewalle et al. to flash LADAR data, and observed quantitative improvement in image quality in terms of number of edges detected. This study uses the super-resolution algorithm of Young et al. to enhance the resolution of range data acquired with a SwissRanger SR-3000 flash LADAR camera. To improve the accuracy of sub-pixel shift estimation, a wavelet preprocessing stage was developed and applied to flash LADAR imagery. The authors used the triangle orientation discrimination (TOD) methodology for a subjective evaluation of the performance improvement (measured in terms of probability of target discrimination and subject response times) achieved with super-resolution. Super-resolution of flash LADAR imagery resulted in superior probabilities of target discrimination at the all investigated ranges while reducing subject response times.
机译:闪光灯激光检测和测距(LADAR)系统越来越多地用于机器人应用中,以实现自主导航和避障。与传统的扫描LADAR设备相比,它们的紧凑尺寸,高帧速率,宽视野和低成本是其关键优势。但是,这些好处是以空间分辨率为代价的。可以应用超分辨率增强功能来提高闪存LADAR设备的分辨率,使其成为小型机器人应用的理想选择。 Rosenbush等人的先前工作。应用了Vandewalle等人的超分辨率算法。闪存LADAR数据,并观察到在检测到的边缘数量方面图像质量的定量提高。本研究使用Young等人的超分辨率算法。以提高使用SwissRanger SR-3000闪光灯LADAR摄像机获取的距离数据的分辨率。为了提高亚像素偏移估计的准确性,开发了一个小波预处理阶段并将其应用于Flash LADAR图像。作者使用三角形定向判别(TOD)方法对以超分辨率实现的性能改进(以目标判别的概率和受试者的响应时间来衡量)进行主观评估。闪光灯LADAR图像的超分辨率可在所有研究范围内实现出色的目标分辨能力,同时减少受试者响应时间。

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