Results 11 to 20 of about 200,418 (165)
Remote Sensing, 2022 Reliable absolute positioning is indispensable in long-term positioning systems. Although simultaneous localization and mapping based on light detection and ranging (LiDAR-SLAM) is effective in global navigation satellite system (GNSS)-denied ...
Zhijian Chen +6 more
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Semantic Lidar-Inertial SLAM for Dynamic Scenes
Applied Sciences, 2022 Over the past few years, many impressive lidar-inertial SLAM systems have been developed and perform well under static scenes. However, most tasks are under dynamic environments in real life, and the determination of a method to improve accuracy and ...
Zean Bu, Changku Sun, Peng Wang
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Multi-modal Feature Fusion in RGB-LiDAR SLAM [PDF]
ITM Web of ConferencesSimultaneous Localization and Mapping (SLAM) is a core technology for environmental perception and autonomous navigation in intelligent robots and autonomous driving.
Jing Haoyang
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STRATEGIES TO INTEGRATE IMU AND LIDAR SLAM FOR INDOOR MAPPING [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 In recent years, the importance of indoor mapping increased in a wide range of applications, such as facility management and mapping hazardous sites. The essential technique behind indoor mapping is simultaneous localization and mapping (SLAM) because ...
S. Karam, V. Lehtola, G. Vosselman
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PASTEL: An Aerial Multi-LiDAR Dataset for Research in SLAM Tuning and Robustness
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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A LiDAR SLAM-Assisted Fusion Positioning Method for USVs. [PDF]
Sensors (Basel), 2023 Confronted with unmanned surface vessel (USV) operations where GNSS signals are unavailable due to obscuration and other factors, a LiDAR SLAM-assisted fusion positioning method for USVs is proposed to combine GNSS/INS positioning with LiDAR-SLAM.
Shen W, Yang Z, Yang C, Li X.
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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
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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
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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
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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
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