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Evaluating 3D local descriptors for future LIDAR missiles with automatic target recognition capabilities

机译:具有自动目标识别功能的未来LIDAR导弹评估3D局部描述符

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摘要

Future light detection and ranging seeker missiles incorporating 3D automatic target recognition (ATR) capabilities can improve the missile's effectiveness in complex battlefield environments. Considering the progress of local 3D descriptors in the computer vision domain, this paper evaluates a number of these on highly credible simulated air-to-ground missile engagement scenarios. The latter take into account numerous parameters that have not been investigated yet by the literature including variable missile - target range, 6-degrees-of-freedom missile motion and atmospheric disturbances. Additionally, the evaluation process utilizes our suggested 3D ATR architecture that compared to current pipelines involves more post-processing layers aiming at further enhancing 3D ATR performance. Our trials reveal that computer vision algorithms are appealing for missileoriented 3D ATR.
机译:结合3D自动目标识别(ATR)功能的未来光检测和测距寻的导弹可以提高导弹在复杂战场环境中的效能。考虑到计算机视觉领域中本地3D描述符的进展,本文在高度可信的模拟空对地导弹交战场景中评估了其中一些。后者考虑了许多尚未被文献研究过的参数,包括可变导弹-目标射程,六自由度导弹运动和大气干扰。此外,评估过程利用了我们建议的3D ATR体系结构,与当前的流水线相比,它涉及更多的后处理层,旨在进一步增强3D ATR性能。我们的试验表明,计算机视觉算法吸引了面向导弹的3D ATR。

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