Results 31 to 40 of about 4,275 (207)
LiDAR-Based 3D SLAM for Indoor Mapping [PDF]
, 2021 Aiming to develop methods for real-time 3D scanning of building interiors, this work evaluates the performance of state-of-the-art LiDAR-based approaches for 3D simultaneous localisation and mapping (SLAM) in indoor environments.
Ho, Song Guang +5 more
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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
IMU and LIDAR SLAM for indoor mapping [PDF]
, 2021 These files are to support the published conference papers about the integration of IMU and LIDAR SLAM for indoor mapping. They include point cloud conversion, segmentation and SLAM codes.
Karam, SAMER (Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente)
core +1 more source
Direct monocular SLAM augmented with LIDAR range measurements [PDF]
, 2021 There are many situations where a spacecraft requires knowledge of the geometry and pose relative to the surrounding environment. SLAM is a class of algorithms capable of solving these problems simultaneously. In this thesis we present a Direct Monocular
Marcus, Corey Leonard
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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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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.
openaire +2 more sources
Comparison of LiDAR-based SLAM methods in a virtual environment [PDF]
, 2023 openLa SLAM (Simultaneous Localization And Mapping) è un processo computazionale che consente di mappare e simultaneamente di localizzare un generico dispositivo in movimento, come ad esempio un UAV (Unmanned Aerial Vehicles), in un ambiente ignoto.
GIROLIMETTO, LUCA
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