Zobrazeno 1 - 10
of 264 352
pro vyhledávání: '"A. Lio"'
LiDAR-Inertial Odometry (LIO) demonstrates outstanding accuracy and stability in general low-speed and smooth motion scenarios. However, in high-speed and intense motion scenarios, such as sharp turns, two primary challenges arise: firstly, due to th
Externí odkaz:
http://arxiv.org/abs/2408.11426
The multi-state constraint Kalman filter (MSCKF) has been proven to be more efficient than graph optimization for visual-based odometry while with similar accuracy. However, it has not yet been properly considered and studied for LiDAR-based odometry
Externí odkaz:
http://arxiv.org/abs/2407.07589
Autor:
Topuz, A. Ilker, Sreekumar, P.
One of the neutron capture processes in lithium or lithium-doped materials leads to the production of secondary alpha-triton pairs. The counts of these secondary charged particle pairs in the presence of thermal/epithermal neutrons indirectly give ac
Externí odkaz:
http://arxiv.org/abs/2406.15462
Autor:
Chung, Dongha, Kim, Jinwhan
Over the last few decades, numerous LiDAR-inertial odometry (LIO) algorithms have been developed, demonstrating satisfactory performance across diverse environments. Most of these algorithms have predominantly been validated in open outdoor environme
Externí odkaz:
http://arxiv.org/abs/2405.12563
Autor:
Peng, Gang1,2,3 (AUTHOR) penggang@hust.edu.cn, Gao, Qiang1,2,3 (AUTHOR) gao_qiang@hust.edu.cn, Xu, Yue1,2,3 (AUTHOR) m202273112@hust.edu.cn, Li, Jianfeng1,2,3 (AUTHOR), Deng, Zhang4 (AUTHOR) dengzhang@bri.com, Li, Cong5 (AUTHOR) licong@bri.com
Publikováno v:
Remote Sensing. Aug2024, Vol. 16 Issue 16, p2970. 14p.
Publikováno v:
Transactions of the Chinese Society of Agricultural Engineering. Feb2024, Vol. 40 Issue 3, p227-239. 13p.
Autor:
Zheng, Xin, Zhu, Jianke
Nowadays, sensor suits have been equipped with redundant LiDARs and IMUs to mitigate the risks associated with sensor failure. It is challenging for the previous discrete-time and IMU-driven kinematic systems to incorporate multiple asynchronized sen
Externí odkaz:
http://arxiv.org/abs/2402.09189
In this letter, we propose a semantics-enhanced solid-state-LiDAR-inertial odometry (SE-LIO) in tree-rich environments. Multiple LiDAR frames are first merged and compensated with the inertial navigation system (INS) to increase the point-cloud cover
Externí odkaz:
http://arxiv.org/abs/2312.01809
Autor:
Wu, Yibin, Guadagnino, Tiziano, Wiesmann, Louis, Klingbeil, Lasse, Stachniss, Cyrill, Kuhlmann, Heiner
Odometry estimation is crucial for every autonomous system requiring navigation in an unknown environment. In modern mobile robots, 3D LiDAR-inertial systems are often used for this task. By fusing LiDAR scans and IMU measurements, these systems can
Externí odkaz:
http://arxiv.org/abs/2311.09887
Publikováno v:
2024 IEEE International Conference on Robotics and Automation (ICRA) (pp. 1730-1737)
We present COIN-LIO, a LiDAR Inertial Odometry pipeline that tightly couples information from LiDAR intensity with geometry-based point cloud registration. The focus of our work is to improve the robustness of LiDAR-inertial odometry in geometrically
Externí odkaz:
http://arxiv.org/abs/2310.01235