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LIDAR-BASED OBJECT DETECTION AND CLASSIFICATION

机译:基于激光的对象检测与分类

摘要

Various systems and methods for implementing LiDAR-based object detection and classification are described herein. An object detection system includes a feature extraction and object identification (FEOI) circuit to: receive segmented data of an environment around the object detection system, the segmented data obtained using a light imaging detection and ranging (LiDAR) system, oriented with respect to a direction of travel; compute spatial and structural parameters of a segment of the segmented data; and use the spatial and structural parameters with a machine learning model to obtain a classification of the segment.
机译:本文描述了用于实现基于LiDAR的物体检测和分类的各种系统和方法。一种物体检测系统,包括特征提取和物体识别(FEOI)电路,用于:接收物体检测系统周围环境的分段数据,该分段数据使用光成像检测和测距(LiDAR)系统相对于物体定向。行进方向;计算分段数据段的空间和结构参数;并将空间和结构参数与机器学习模型一起使用,以获取路段的分类。

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