Results 91 to 100 of about 24,073 (191)

Panoramic Visual SLAM Technology Based on Spherical Mapping [PDF]

Jisuanji gongcheng
In response to the limited robustness caused by the narrow field-of-view of traditional cameras and the constraints imposed by image distortion in existing panoramic Simultaneous Localization and Mapping (SLAM) algorithms, this study proposes a novel ...
LIU Ye, LIU Xixiang, XU Hao
doaj   +1 more source

Evaluation of Simultaneous Localization and Mapping (SLAM) Algorithms

, 2021
Simultaneous Localization and Mapping (SLAM) is a core component for the successful implementation of most autonomous robotics systems such as unmanned ground and areal vehicles and industrial mobile robots. It is crucial to have a robust localization and mapping system if the robot’s navigation depends on it while navigating through an unknown ...
openaire   +1 more source

Situations in Construction of 3D Mapping for Slam

MATEC Web of Conferences, 2018
Nowadays, the simultaneous localization and mapping (SLAM) approach has become one of the most advanced engineering methods used for mobile robots to build maps in unknown or inaccessible spaces.
Nguyen Hoang Thuy Trang, Shydlouski Stanislav   +1 more
doaj   +1 more source

Hector SLAM 2D Mapping for Simultaneous Localization and Mapping (SLAM) [PDF]

Journal of Engineering and Applied Sciences, 2019
Shahrizal Saat, AN.MF. Airini, Muhammad Salihin Saealal, A.R. Wan Norhisyam, M.S. Farees Ezwan   +4 more
openaire   +1 more source

Visual-LiDAR Localization and Tree Map Building for Autonomous Robot in Unstructured Forests

IEEE Access
This study proposes a Visual-LiDAR (VL) localization and tree trunk mapping method for an autonomous robot in unstructured forests. In unstructured outdoor environments such as forests and orchards, the GPS signal is often unreliable and occluded by ...
Kwanwoo Park, Soon-Yong Park
doaj   +1 more source

Multirobot C-SLAM: Simultaneous localization, control, and mapping

, 2005
This paper is about closing the low level control loop during Multirobot Simultaneous Localization and Map Building from an estimation-control theoretic viewpoint. We present a multi-vehicle control strategy that uses the state estimates generated from the SLAM algorithm as input to a multi-vehicle controller.
Andrade-Cetto, Juan, Vidal-Calleja, Teresa A., Sanfeliu, Alberto   +2 more
openaire   +1 more source

Human-in-the-Loop SLAM

, 2017
Building large-scale, globally consistent maps is a challenging problem, made more difficult in environments with limited access, sparse features, or when using data collected by novice users. For such scenarios, where state-of-the-art mapping algorithms
Biswas, Joydeep, Nashed, Samer B.
core   +1 more source

RLI-SLAM: Fast Robust Ranging-LiDAR-Inertial Tightly-Coupled Localization and Mapping

Sensors
Simultaneous localization and mapping (SLAM) is an essential component for smart robot operations in unknown confined spaces such as indoors, tunnels and underground.
Rui Xin, Ningyan Guo, Xingyu Ma, Gang Liu, Zhiyong Feng   +4 more
doaj   +1 more source

SD-VIS: A Fast and Accurate Semi-Direct Monocular Visual-Inertial Simultaneous Localization and Mapping (SLAM). [PDF]

Sensors (Basel), 2020
Liu Q, Wang Z, Wang H.
europepmc   +1 more source

Benchmarking and Comparing Popular Visual SLAM Algorithms

, 2018
This paper contains the performance analysis and benchmarking of two popular visual SLAM Algorithms: RGBD-SLAM and RTABMap. The dataset used for the analysis is the TUM RGBD Dataset from the Computer Vision Group at TUM.
Kasar, Amey
core