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Underground mine lidar data

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IEEE2026-04-17 收录
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https://ieee-dataport.org/documents/underground-mine-lidar-data
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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.
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PAN, JIN
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