首页> 外文会议>Conference on Signal Processing, Sensor Fusion, and Target Recognition XII Apr 21-23, 2003 Orlando, Florida, USA >Range and brightness fusion: using radar and electro-optical data association for tracking small objects
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Range and brightness fusion: using radar and electro-optical data association for tracking small objects

机译:距离和亮度融合:使用雷达和光电数据关联来跟踪小物体

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In this paper we consider the tracking of small distant objects using Radar and Electro-Optical (EO) sensors. In particular we address the problem of data association after coalescence - this happens when two objects become sufficiently close (in angular terms) that they can no longer be resolved by the EO sensor. Some moments later they de-coalesce and the resulting detections must be associated with the existing tracks in the EO sensor. Traditionally this would be solved by making use of the velocity vectors of the objects prior to coalescence. This approach can work well for crossing objects, but when the objects are largely moving in a direction radial to the sensor it becomes problematic. Here we investigate the use of data fusion to combine Radar range with a brightness measure derived from an EO sensor to enhance the accuracy of data association. We present a number of results on the performance of this approach taking into account target motion, atmospheric conditions and sensor noise.
机译:在本文中,我们考虑使用雷达和电光(EO)传感器跟踪小距离物体。特别是,我们解决了合并后的数据关联问题-当两个对象变得足够接近(以角度表示)以致EO传感器无法再解决它们时,就会发生这种情况。过了一会儿,它们便解散了,结果检测必须与EO传感器中的现有磁道相关联。传统上,这将通过在合并之前利用对象的速度矢量来解决。这种方法对于穿越物体可以很好地工作,但是当物体在相对于传感器径向的方向上大幅移动时,就会出现问题。在这里,我们研究了如何使用数据融合技术将雷达范围与从EO传感器获得的亮度测量值结合起来,以增强数据关联的准确性。考虑到目标运动,大气条件和传感器噪声,我们在此方法的性能方面提出了许多结果。

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