3 accepted papers
LiDAR-based odometry is widely used in ground robot localization. However, current methods encounter challenges in accuracy and robustness due to structural degradation, system observational error, and accumulated error. To address the above issues, we propose CPBA-LIWO, a continuous-time LiDAR-Iner…
Accurate and robust LiDAR odometry is a crucial technology for robot localization. However, motion distortion and ranging error make it a bottleneck. Most existing methods are limited in accuracy and robustness because they simply compensate for motion distortion by constant velocity motion assumpti…
Simultaneous Localization and Mapping (SLAM) is widely used in applications such as robotics and autonomous driving, with methods involving multi-sensor fusion demonstrating excellent performance. However, they simply reject dynamic features and ignore the mutual benefits of self and dynamic objects…