Results 21 to 30 of about 15,287 (197)
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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A Benchmark for Multi-Modal LiDAR SLAM with Ground Truth in GNSS-Denied Environments
Remote Sensing, 2023 LiDAR-based simultaneous localization and mapping (SLAM) approaches have obtained considerable success in autonomous robotic systems. This is in part owing to the high accuracy of robust SLAM algorithms and the emergence of new and lower-cost LiDAR ...
Ha Sier +5 more
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SLAM Overview: From Single Sensor to Heterogeneous Fusion
Remote Sensing, 2022 After decades of development, LIDAR and visual SLAM technology has relatively matured and been widely used in the military and civil fields. SLAM technology enables the mobile robot to have the abilities of autonomous positioning and mapping, which ...
Weifeng Chen +6 more
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Research on Environment Perception System of Quadruped Robots Based on LiDAR and Vision
Drones, 2023 Due to the high stability and adaptability, quadruped robots are currently highly discussed in the robotics field. To overcome the complicated environment indoor or outdoor, the quadruped robots should be configured with an environment perception system,
Guangrong Chen, Liang Hong
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A Review of Visual-LiDAR Fusion based Simultaneous Localization and Mapping
Sensors, 2020 Autonomous navigation requires both a precise and robust mapping and localization solution. In this context, Simultaneous Localization and Mapping (SLAM) is a very well-suited solution.
César Debeunne, Damien Vivet
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Mobile Robot Self-Localization with 2D Push-Broom LIDAR in a 2D Map [PDF]
, 2020 This paper proposes mobile robot self-localization based on an onboard 2D push-broom (or tilted-down) LIDAR using a reference 2D map previously obtained with a 2D horizontal LIDAR.
Clotet Bellmunt, Eduard +3 more
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MR-MD:MULTI-ROBOT MAPPING WITH MANHATTAN DESCRIPTOR [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Simultaneous Localization and Mapping (SLAM) technology, utilizing Light Detection and Ranging (LiDAR) sensors, is crucial for 3D environment perception and mapping.
H. Wu +20 more
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Consistent map building in petrochemical complexes for firefighter robots using SLAM based on GPS and LIDAR [PDF]
, 2018 The objective of this study was to achieve simultaneous localization and mapping (SLAM) of firefighter robots for petrochemical complexes. Consistency of the SLAM map is important because human operators compare the map with aerial images and identify ...
Amano, Hisanori +9 more
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VIRAL SLAM: Tightly Coupled Camera-IMU-UWB-Lidar SLAM
CoRR, 2021 In this paper, we propose a tightly-coupled, multi-modal simultaneous localization and mapping (SLAM) framework, integrating an extensive set of sensors: IMU, cameras, multiple lidars, and Ultra-wideband (UWB) range measurements, hence referred to as VIRAL (visual-inertial-ranging-lidar) SLAM.
Thien-Minh Nguyen +4 more
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Lidar SLAM for Autonomous Driving Vehicles
CoRR, 2022 This paper presents Lidar-based Simultaneous Localization and Mapping (SLAM) for autonomous driving vehicles. Fusing data from landmark sensors and a strap-down Inertial Measurement Unit (IMU) in an adaptive Kalman filter (KF) plus the observability of the system are investigated.
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