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A Review of 2D Lidar SLAM Research
Remote SensingTwo-dimensional (2D) simultaneous localization and mapping (SLAM) is a key technology for intelligent indoor robots. By using a map generated via SLAM, the robot can navigate and perform specific tasks.
Ran Yingying, Xiaobin Xu
exaly +4 more sources
A Review of Multi-Sensor Fusion SLAM Systems Based on 3D LIDAR
Remote Sensing, 2022 The ability of intelligent unmanned platforms to achieve autonomous navigation and positioning in a large-scale environment has become increasingly demanding, in which LIDAR-based Simultaneous Localization and Mapping (SLAM) is the mainstream of research
Xiaobin Xu, Lei Zhang, Ran Yingying
exaly +3 more sources
GNSS/IMU/ODO/LiDAR-SLAM Integrated Navigation System Using IMU/ODO Pre-Integration [PDF]
Sensors, 2020 In this paper, we proposed a multi-sensor integrated navigation system composed of GNSS (global navigation satellite system), IMU (inertial measurement unit), odometer (ODO), and LiDAR (light detection and ranging)-SLAM (simultaneous localization and ...
Le Chang, Xiaoji Niu, Tianyi Liu
doaj +2 more sources
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, Aigong Xu, Wang Changqiang
exaly +3 more sources
2D LiDAR SLAM Back-End Optimization with Control Network Constraint for Mobile Mapping [PDF]
Sensors, 2018 Simultaneous localization and mapping (SLAM) has been investigated in the field of robotics for two decades, as it is considered to be an effective method for solving the positioning and mapping problem in a single framework.
Jingren Wen +5 more
doaj +2 more sources
Short-range Lidar SLAM utilizing localization data of monocular localization [PDF]
ROBOMECH Journal, 2021 Simultaneous localization and mapping (SLAM) is a widely used technology in autonomous mobile robots, where sensors such as Lidar or cameras are typically used.
Sousuke Nakamura +2 more
doaj +2 more sources
Segment-Based SLAM Registration Optimization Algorithm Combining NDT and PL-ICP [PDF]
SensorsWith the continuous advancement of LiDAR technology, solid-state LiDAR, with its low cost and unique scanning mode, shows great potential in measurement applications.
Yi Zhang +5 more
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VINA-SLAM: A Voxel-Based Inertial and Normal-Aligned LiDAR–IMU SLAM [PDF]
SensorsEnvironments with sparse or repetitive geometric structures, such as long corridors and narrow stairwells, remain challenging for LiDAR–inertial simultaneous localization and mapping (LiDAR–IMU SLAM) due to insufficient geometric observability and ...
Ruyang Zhang, Bingyu Sun
doaj +2 more sources
The Influence of Micro-Hexapod Walking-Induced Pose Changes on LiDAR-SLAM Mapping Performance [PDF]
SensorsMicro-hexapods, well-suited for navigating tight or uneven spaces and suitable for mass production, hold promise for exploration by robot groups, particularly in disaster scenarios.
Hiroshi Seki +2 more
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Smart ROUV advances for enhanced navigation in the Suez Canal [PDF]
Scientific ReportsRemotely Operated Underwater Vehicles (ROUVs) are increasingly important for high-resolution surveying of narrow shipping lanes. This paper presents 3Clifs, a LiDAR- and AI-enhanced ROUV designed for near-real-time topographic mapping and navigation ...
Khaled Oqda +11 more
doaj +2 more sources