Lidar-based place recognition for autonomous driving: A survey
LiDAR has gained popularity in autonomous driving due to advantages like long
measurement distance, rich three-dimensional information, and stability in harsh …
measurement distance, rich three-dimensional information, and stability in harsh …
MULLS: Versatile LiDAR SLAM via multi-metric linear least square
Y Pan, P ** calls for off-the-shelf
LiDAR SLAM solutions that are adaptive to LiDARs of different specifications on various …
LiDAR SLAM solutions that are adaptive to LiDARs of different specifications on various …
LiDAR SLAM with plane adjustment for indoor environment
Planes ubiquitously exist in the indoor environment. This letter presents a real-time and low-
drift LiDAR SLAM system using planes as the landmark for the indoor environment. Our …
drift LiDAR SLAM system using planes as the landmark for the indoor environment. Our …
BTC: A Binary and Triangle Combined Descriptor for 3D Place Recognition
Accurate and robust place recognition is essential for robot navigation, yet achieving full
pose invariance and high performance across diverse scenes remains challenging. In this …
pose invariance and high performance across diverse scenes remains challenging. In this …
-LiSLAM: LiDAR SLAM With Planes, Lines, and Cylinders
Planes, lines, and cylinders widely exist in man-made environments. This letter introduces a
LiDAR simultaneous localization and map** (SLAM) system using those three types of …
LiDAR simultaneous localization and map** (SLAM) system using those three types of …
Omni point: 3d lidar-based feature extraction method for place recognition and point registration
In autonomous driving, place recognition is an essential component for successful mission
execution, where Simultaneous Localization and Map** (SLAM) is widely used in the …
execution, where Simultaneous Localization and Map** (SLAM) is widely used in the …
Indoor map** using low-cost MLS point clouds and architectural skeleton constraints
Abstract MLS (Mobile Laser Scanner) offers adequate mobility and the ability to obtain
accurate environmental data. However, it still faces some challenges, such as the heavy …
accurate environmental data. However, it still faces some challenges, such as the heavy …
3D LiDAR-Based Place Recognition Techniques: A Review of the Past 10 Years
Accurate determination of a robot's location, which is referred to as place recognition, is
essential for achieving autonomous navigation. However, complex real-world environments …
essential for achieving autonomous navigation. However, complex real-world environments …
3D point cloud-based place recognition: a survey
Place recognition is a fundamental topic in computer vision and robotics. It plays a crucial
role in simultaneous localization and map** (SLAM) systems to retrieve scenes from maps …
role in simultaneous localization and map** (SLAM) systems to retrieve scenes from maps …
Graffmatch: Global matching of 3d lines and planes for wide baseline lidar registration
Using geometric landmarks like lines and planes can increase navigation accuracy and
decrease map storage requirements compared to commonly-used LiDAR point cloud maps …
decrease map storage requirements compared to commonly-used LiDAR point cloud maps …