3 papers
cs.RO2025
II-NVM: Enhancing Map Accuracy and Consistency with Normal Vector-Assisted Mapping
Chengwei Zhao, Yixuan Li, Yina Jian +4
SLAM technology plays a crucial role in indoor mapping and localization. A common challenge in indoor environments is the "double-sided mapping issue", where closely positioned wal…
cs.RO2025
Dynamic Initialization for LiDAR-inertial SLAM
Jie Xu, Yongxin Ma, Yixuan Li +4
The accuracy of the initial state, including initial velocity, gravity direction, and IMU biases, is critical for the initialization of LiDAR-inertial SLAM systems. Inaccurate init…
cs.RO2025
MM-LINS: a Multi-Map LiDAR-Inertial System for Over-Degenerate Environments
Yongxin Ma, Jie Xu, Shenghai Yuan +4
SLAM plays a crucial role in automation tasks, such as warehouse logistics, healthcare robotics, and restaurant delivery. These scenes come with various challenges, including navig…