Results 21 to 30 of about 4,275 (207)
PASTEL: An Aerial Multi-LiDAR Dataset for Research in SLAM Tuning and Robustness [PDF]
IEEE AccessLiDAR-based SLAM algorithms are critically dependent on the configuration of the environment and the LiDAR characteristics. Existing LiDAR-based datasets are not devised for research in SLAM parameter tuning due to limited diversity in types of ...
Robert Milijas +2 more
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Dynamic Initialization for LiDAR-Inertial SLAM [PDF]
IEEE/ASME Transactions on MechatronicsThe accuracy of the initial state, including initial velocity, gravity direction, and IMU biases, is critical for the initialization of LiDAR-inertial SLAM systems. Inaccurate initial values can reduce initialization speed or lead to failure. When the system faces urgent tasks, robust and fast initialization is required while the robot is moving, such ...
Jie Xu +6 more
openaire +3 more sources
UWB/LiDAR Fusion For Cooperative Range-Only SLAM [PDF]
2019 International Conference on Robotics and Automation (ICRA), 2019 We equip an ultra-wideband (UWB) node and a 2D LiDAR sensor a.k.a. 2D laser rangefinder on a mobile robot, and place UWB beacon nodes at unknown locations in an unknown environment. All UWB nodes can do ranging with each other thus forming a cooperative sensor network.
Yang Song 0012 +4 more
openaire +5 more sources
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).
Ziyu Zhao, Hongrui Peng, Wang Liguan
exaly +3 more sources
Large-Scale LiDAR SLAM with Factor Graph Optimization on High-Level Geometric Features [PDF]
Sensors, 2021 Jan Wietrzykowski +2 more
exaly +2 more sources
VS-SLAM: Robust SLAM Based on LiDAR Loop Closure Detection with Virtual Descriptors and Selective Memory Storage in Challenging Environments [PDF]
ActuatorsLiDAR loop closure detection is a key technology to mitigate localization drift in LiDAR SLAM, but it remains challenging in structurally similar environments and memory-constrained platforms.
Zhixing Song +4 more
doaj +2 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
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