Underground mine lidar data
收藏DataCite Commons2024-06-12 更新2024-07-13 收录
下载链接:
https://ieee-dataport.org/documents/underground-mine-lidar-data
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资源简介:
The provided data package contains Livox LiDAR scan data from the Calar simulation platform, capturing scenarios in three distinct tunnels, each with various obstacles. The dataset includes LiDAR data recorded at different distances from the sensor, . Additionally, the data encompasses varying numbers of obstacles. This dataset is valuable for analyzing obstacle detection and range measurement capabilities of the Livox LiDAR, facilitating improvements in autonomous navigation systems and enhancing obstacle avoidance algorithms in complex environments.This rich dataset is instrumental for examining the obstacle detection capability of the Livox LiDAR. By analyzing how the sensor performs across different distances and obstacle densities, researchers can gain insights into the effectiveness of LiDAR in real-world applications. The data is particularly valuable for improving autonomous navigation systems, enabling the development of more robust obstacle avoidance algorithms. This, in turn, enhances the safety and reliability of autonomous vehicles operating in varied and challenging conditions.
提供机构:
IEEE DataPort
创建时间:
2024-06-12
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集包含来自Calar模拟平台的Livox LiDAR扫描数据,捕获了三个不同隧道中带有各种障碍物的场景,数据格式为BAG文件,适用于分析LiDAR的障碍物检测和距离测量能力,旨在改进自主导航系统和复杂环境中的避障算法。
以上内容由遇见数据集搜集并总结生成



