Results 21 to 30 of about 200,418 (165)
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
core +1 more source
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
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
core +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
DCL-SLAM: A Distributed Collaborative LiDAR SLAM Framework for a Robotic Swarm [PDF]
, 2023 To execute collaborative tasks in unknown environments, a robotic swarm needs to establish a global reference frame and locate itself in a shared understanding of the environment.
Qi, Yuhua +5 more
core +1 more source
Lidar-based scale recovery dense SLAM for UAV navigation [PDF]
, 2022 openImagine of having an autonomous agent (drone, robot, car, ..) that wants to navigate inside an unknown environment. The first question that it needs to answer for accomplish such task is: where Am I?
ANDREOLI, JACOPO
core
Research on SLAM Algorithm of Mobile Robot Based on the Fusion of 2D LiDAR and Depth Camera
IEEE Access, 2020 This paper proposes a new Simultaneous Localization and Mapping (SLAM) method on the basis of graph-based optimization through the combination of the Light Detection and Ranging (LiDAR), RGB-D camera, encoder and Inertial Measurement Unit (IMU).
Lili Mu +5 more
doaj +1 more source
LIDAR-INERTIAL NAVIGATION BASED ON MAP AIDED DISTANCE CONSTRAINT AND FACTOR GRAPH OPTIMIZATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 The simultaneous localization and mapping (SLAM) is one of the well-developed positioning technology that provides high accuracy and reliability positioning for automatic vehicles and robotics applications. Integrating Light Detection and Ranging (LiDAR)
M. Ai +3 more
doaj +1 more source