A systematic literature review on long‐term localization and map** for mobile robots
Long‐term operation of robots creates new challenges to Simultaneous Localization and
Map** (SLAM) algorithms. Long‐term SLAM algorithms should adapt to recent changes …
Map** (SLAM) algorithms. Long‐term SLAM algorithms should adapt to recent changes …
Performance evaluation of ROS-based SLAM algorithms for handheld indoor map** and tracking systems
Simultaneous localization and map** (SLAM) is an important field of work not only in
robotics, but also in mobile platforms. This research work provides insights into how SLAM …
robotics, but also in mobile platforms. This research work provides insights into how SLAM …
LiDAR odometry by deep learning-based feature points with two-step pose estimation
An accurate ego-motion estimation solution is vital for autonomous vehicles. LiDAR is widely
adopted in self-driving systems to obtain depth information directly and eliminate the …
adopted in self-driving systems to obtain depth information directly and eliminate the …
Uncertainty-aware adaptive semidirect LiDAR scan matching for ground vehicle positioning
S Chen, V Frémont - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Iterative closest point (ICP) algorithms are widely used in the literature for the estimation of
relative transformations using 3-D light detection and ranging (LiDAR) point clouds. This …
relative transformations using 3-D light detection and ranging (LiDAR) point clouds. This …
LSMCL: Long-term Static Map** and Cloning Localization for autonomous robot navigation using 3D LiDAR in dynamic environments
YC Lee - Expert Systems with Applications, 2024 - Elsevier
One of the challenges in autonomous robot navigation applications is recognizing the exact
location in a dynamic environment in which the location of surrounding objects changes …
location in a dynamic environment in which the location of surrounding objects changes …
MoLi-PoseNet: Model-based indoor relocalization using deep pose regression from synthetic LiDAR scans
In indoor environments, the low availability of global navigation satellite systems (GNSSs)
makes the light detection and ranging (LiDAR) pose initialization a challenge. Approximate …
makes the light detection and ranging (LiDAR) pose initialization a challenge. Approximate …
Spinning-Actuated LiDAR-Based SLAM for Robotic Map**: A Concise Survey
M He, X Yue, Q Du, J Li, J Chen… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Over the years, significant developments and applications of light detection and ranging
(LiDAR)-based simultaneous localization and map** (SLAM) have occurred in robotic …
(LiDAR)-based simultaneous localization and map** (SLAM) have occurred in robotic …
A systematic literature review on long-term localization and map** for mobile robots
Long-term operation of robots creates new challenges to Simultaneous Localization and
Map** (SLAM) algorithms. Long-term SLAM algorithms should adapt to recent changes …
Map** (SLAM) algorithms. Long-term SLAM algorithms should adapt to recent changes …
Performance Analysis of Computer Vision Based Feature Detectors for 3D Laser Rasterized Images
W Ali, P Liu, R Ying - 2021 5th International Conference on …, 2021 - ieeexplore.ieee.org
The 3D point cloud processing and scan registration is a computationally expensive task as
each scan contains thousands of points. An effective solution is to use feature detection …
each scan contains thousands of points. An effective solution is to use feature detection …