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Identification of vehicle targets from low-cost ladar-seeker imagery

机译:从低成本的雷达搜索图像中识别车辆目标

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Abstract: Use of ladar seekers for autonomous vehicle identification and targeting from short range, expendable munitions is increasingly of interest due to the inherently high resolution shape data and the relatively low unit cost of the sensor. In addition, low-cost digital signal processors are now available that can manage the computational workload required for autonomous operation in a wide variety of tactical scenarios. A set of detection, segmentation, and vehicle identification algorithms have been developed which have been demonstrated on real and synthetic seeker data and have been targeted for the architecture and resources available on a tactically realistic processor. Results of preliminary algorithm testing are presented.!6
机译:摘要:由于固有的高分辨率形状数据和传感器的相对较低的成本,将雷达搜索器用于近距离,消耗性弹药的自动车辆识别和瞄准越来越引起人们的兴趣。此外,现在还可以使用低成本的数字信号处理器,该处理器可以管理各种战术场景中自主操作所需的计算工作量。已经开发了一组检测,分割和车辆识别算法,这些算法已在真实和合成的搜寻器数据上进行了演示,并针对战术上逼真的处理器上可用的体系结构和资源。给出了初步算法测试的结果。!6

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