LiDAR Point Cloud Object Classification
收藏IEEE2021-03-13 更新2026-04-17 收录
下载链接：
https://ieee-dataport.org/documents/lidar-point-cloud-object-classification
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资源简介：
LiDAR point cloud data serves as an machine vision alternative other than image. Its advantages when compared to image and video includes depth estimation and distance measruement. Low-density LiDAR point cloud data can be used to achieve navigation, obstacle detection and obstacle avoidance for mobile robots. autonomous vehicle and drones. In this metadata, we scanned over 1200 objects and classified it into 4 groups of object namely, human, cars, motorcyclist. We also recorded the objects orientation heading for single image orientation detection which enables movement forecast and estimation.
提供机构：
Mohd Romlay, Muhammad Rabani
创建时间：
2021-03-13
