Geo-localization with transformer-based 2D-3D match network
Published in IEEE Robotics and Automation Letters, 2023
This letter presents a novel method for geographical localization by registering satellite maps with LiDAR point clouds.
Published in IEEE Robotics and Automation Letters, 2023
This letter presents a novel method for geographical localization by registering satellite maps with LiDAR point clouds.
Published in IEEE Robotics and Automation Letters, 2023
In this letter, we propose an efficient continuous-time LiDAR-Inertial-Camera Odometry, utilizing non-uniform B-splines to tightly couple measurements from the LiDAR, IMU, and camera.
Published in Conference on Computer Vision and Pattern Recognition, 2024
Our source code is available at: https://github.com/hoqolo/SDSTrack.
Published in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2024, 2024
Our source code is available at: https://github.com/APRIL-ZJU/PA-EVIO.