Results 11 to 20 of about 15,287 (197)
International Journal of Applied Earth Observation and Geoinformation, 2023 LiDAR Simultaneous Localization and Mapping (SLAM) is able to map unknown scene while online estimating the LiDAR’s pose. Traditional LiDAR SLAM frameworks mainly rely on geometric features in the environments, but ignore LiDAR intensity information ...
xing zhang
exaly +3 more sources
VILO SLAM: Tightly Coupled Binocular Vision–Inertia SLAM Combined with LiDAR
Sensors, 2023 For the existing visual–inertial SLAM algorithm, when the robot is moving at a constant speed or purely rotating and encounters scenes with insufficient visual features, problems of low accuracy and poor robustness arise.
Gang Peng +6 more
doaj +3 more sources
Large-Scale LiDAR SLAM with Factor Graph Optimization on High-Level Geometric Features [PDF]
Sensors, 2021 Krzysztof Ćwian +2 more
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A Review of Dynamic Object Filtering in SLAM Based on 3D LiDAR
SensorsSLAM (Simultaneous Localization and Mapping) based on 3D LiDAR (Laser Detection and Ranging) is an expanding field of research with numerous applications in the areas of autonomous driving, mobile robotics, and UAVs (Unmanned Aerial Vehicles).
Hongrui Peng, Ziyu Zhao, Liguan Wang
exaly +3 more sources
ART-SLAM: Accurate Real-Time 6DoF LiDAR SLAM [PDF]
IEEE Robotics and Automation Letters, 2022 Real-time six degree-of-freedom pose estimation with ground vehicles represents a relevant and well studied topic in robotics, due to its many applications, such as autonomous driving and 3D mapping. Although some systems exist already, they are either not accurate or they struggle in real-time setting.
Matteo Frosi, Matteo Matteucci
openaire +3 more sources
COMBINATION OF TLS AND SLAM LIDAR FOR LEVEE MONITORING [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Monitoring of engineering structures is important for ensuring safety of operation. Traditional surveying methods have proven to be reliable; however, the advent of new point cloud technologies such as terrestrial laser scanning (TLS) and small unmanned ...
D. Bolkas, M. O’Banion, C. J. Belleman
doaj +1 more source
SC-LiDAR-SLAM: A Front-end Agnostic Versatile LiDAR SLAM System
2022 International Conference on Electronics, Information, and Communication (ICEIC), 2022 Accurate 3D point cloud map generation is a core task for various robot missions or even for data-driven urban analysis. To do so, light detection and ranging (LiDAR) sensor-based simultaneous localization and mapping (SLAM) technology have been elaborated.
Giseop Kim +3 more
openaire +2 more sources
A LiDAR/Visual SLAM Backend with Loop Closure Detection and Graph Optimization
Remote Sensing, 2021 LiDAR (light detection and ranging), as an active sensor, is investigated in the simultaneous localization and mapping (SLAM) system. Typically, a LiDAR SLAM system consists of front-end odometry and back-end optimization modules.
Shoubin Chen +4 more
doaj +1 more source
The Identification and Compensation of Static Drift Induced by External Disturbances for LiDAR SLAM
IEEE Access, 2021 With the extending use of LiDAR SLAM in various areas, the interference of external disturbances on SLAM is becoming more and more obvious. Huge efforts have been made to reduce the drift error of LiDAR SLAM using graph-based methods.
Da Li +4 more
doaj +1 more source
INDOOR MAPPING: EXPERIENCES WITH LIDAR SLAM
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Abstract. Indoor mapping is gaining more interest in both research as well as in emerging applications. Building information systems (BIM) and indoor navigation are probably the driving force behind this trend. For accurate mapping, the platform trajectory reconstruction, or in other words sensor orientation, is essential to reduce or even eliminate ...
B. Suleymanoglu +3 more
openaire +5 more sources