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Updated: Jan 7, 2026

An Open-Source Virtual Reality System for the Measurement of Spatial Learning in Head-Restrained Mice
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HV-LIOM:适应式哈希-沃克塞尔LiDAR-惯性SLAM,具有多分辨率重新定位和强化学习,用于自主探索

Shicheng Fan1, Xiaopeng Chen1, Weimin Zhang1,2

  • 1School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China.

Sensors (Basel, Switzerland)
|December 31, 2025
PubMed
概括

HV-LIOM 提供了自适应式哈希-voxel 映射,以实现高效的实时 3D 映射和在具有挑战性的环境中进行自主探索. 这种LiDAR-惯性SLAM框架通过使用先进的重新定位和基于学习的模块来提高姿势准确性和探索效率.

关键词:
混合Voxel映射 混合Voxel映射基于 LiDAR 的 SLAM 系统.活跃的勘探活动.自主勘探自主勘探自主勘探强化学习是一种强化学习.

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