2 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
Adaptive-LIO: Enhancing Robustness and Precision through Environmental Adaptation in LiDAR Inertial Odometry
Chengwei Zhao, Kun Hu, Jie Xu +5
The emerging Internet of Things (IoT) applications, such as driverless cars, have a growing demand for high-precision positioning and navigation. Nowadays, LiDAR inertial odometry…