阅读说明：本技术 用于车道检测的设备 (Apparatus for lane detection ) 是由 尤金·沙弗尔 于 2018-05-03 设计创作，主要内容包括：本发明提供了一种用于机动车辆驾驶员辅助系统的设备。该设备被配置为优化物体群集,其中每个物体群集包括针对车辆附近的至少一个物体的位置测量值序列。最初,在预聚类阶段,所测量的物体位置到物体群集的分配可以基于所测量物体位置的相对接近度。该设备基于第一诊断来识别恶意物体群集,并根据恶意物体群集内的测量值来识别恶意物体轨迹。来自恶意物体轨迹的位置测量值已从群集中移除,并且将恶意物体群集中的其余位置测量值重新分配给其他物体群集。移除恶意物体群集。因此,优化物体群集。(The invention provides an arrangement for a driver assistance system for a motor vehicle. The apparatus is configured to optimize clusters of objects, wherein each cluster of objects comprises a sequence of position measurements for at least one object in the vicinity of the vehicle. Initially, in the pre-aggregation class stage, the assignment of measured object positions to object clusters may be based on the relative proximity of the measured object positions. The device identifies clusters of malicious objects based on the first diagnosis and identifies malicious object trajectories from measurements within the clusters of malicious objects. The position measurements from the malicious object trajectories have been removed from the clusters and the remaining position measurements in the malicious object clusters are reassigned to other object clusters. Clusters of malicious objects are removed. Thus, object clustering is optimized.)