3 accepted papers
LiDAR-based loop closure detection is a crucial part of realizing robust SLAM algorithms for intelligent vehicles with LiDAR sensors. Existing methods often reduce the keypoint dimension to encode the global descriptor, which sacrifices the freedom of loop detection and correction. Based on the 6-DO
This letter presents the first trajectory planning method for hybrid robot to perform powerline inspection involving obstacle navigation and landing. We develop a geometric model that incorporates constraints for landing the hybrid robot on a powerline, obstacle avoidance, and objectives that maximi
In this letter, we propose RI-LIO, a new reflectivity image assisted tightly-coupled LiDAR-inertial odometry (LIO) framework that introduces additional reflectivity texture information to efficiently reduce the drift of geometric-only methods. To achieve this, we construct an iterated extended Kalma