Results 61 to 70 of about 2,238,929 (282)

An Overview on Visual SLAM: From Tradition to Semantic

open access: yesRemote Sensing, 2022
Visual SLAM (VSLAM) has been developing rapidly due to its advantages of low-cost sensors, the easy fusion of other sensors, and richer environmental information.
Weifeng Chen   +7 more
semanticscholar   +1 more source

A Survey of Visual SLAM Based on RGB-D Images Using Deep Learning and Comparative Study for VOE

open access: yesAlgorithms
Visual simultaneous localization and mapping (Visual SLAM) based on RGB-D image data includes two main tasks: One is to build an environment map, and the other is to simultaneously track the position and movement of visual odometry estimation (VOE ...
Van-Hung Le, Thi-Ha-Phuong Nguyen
doaj   +1 more source

GSLAM: Initialization-robust Monocular Visual SLAM via Global Structure-from-Motion

open access: yes, 2017
Many monocular visual SLAM algorithms are derived from incremental structure-from-motion (SfM) methods. This work proposes a novel monocular SLAM method which integrates recent advances made in global SfM. In particular, we present two main contributions
Tan, Ping, Tang, Chengzhou, Wang, Oliver
core   +1 more source

A monocular visual SLAM system augmented by lightweight deep local feature extractor using in-house and low-cost LIDAR-camera integrated device

open access: yesInternational Journal of Digital Earth, 2022
Simultaneous Localization and Mapping (SLAM) has been widely used in emergency response, self-driving and city-scale 3D mapping and navigation. Recent deep-learning based feature point extractors have demonstrated superior performance in dealing with the
Jing Li   +6 more
doaj   +1 more source

SLAM Overview: From Single Sensor to Heterogeneous Fusion

open access: yesRemote 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

Direct Visual SLAM Fusing Proprioception for a Humanoid Robot [PDF]

open access: yes, 2017
In this paper we investigate the application of semi-dense visual Simultaneous Localisation and Mapping (SLAM) to the humanoid robotics domain. Challenges of visual SLAM applied to humanoids include the type of dynamic motion executed by the robot, a ...
Fallon, Maurice   +3 more
core   +1 more source

AGRI-SLAM: a real-time stereo visual SLAM for agricultural environment

open access: yesAutonomous Robots, 2023
In this research, we proposed a stereo visual simultaneous localisation and mapping (SLAM) system that efficiently works in agricultural scenarios without compromising the performance and accuracy in contrast to the other state-of-the-art methods.
Rafiqul Islam   +2 more
semanticscholar   +1 more source

H-SLAM: Hybrid direct–indirect visual SLAM

open access: yesRobotics and Autonomous Systems
The recent success of hybrid methods in monocular odometry has led to many attempts to generalize the performance gains to hybrid monocular SLAM. However, most attempts fall short in several respects, with the most prominent issue being the need for two different map representations (local and global maps), with each requiring different ...
Georges Younes   +3 more
openaire   +2 more sources

Scaled Monocular Visual SLAM

open access: yesJournal of Computational Vision and Imaging Systems, 2016
The fundamental shortcoming underlying monocular-based localizationand mapping solutions (SfM, Visual SLAM) is the fact thatthe obtained maps and motion are solved up to an unknown scale.Yet, the literature provides interesting solutions to scale estimationusing cues from focus or defocus of a camera.
Nolan Lunscher   +6 more
openaire   +2 more sources

A minimalistic approach to appearance-based visual SLAM [PDF]

open access: yes, 2008
This paper presents a vision-based approach to SLAM in indoor / outdoor environments with minimalistic sensing and computational requirements. The approach is based on a graph representation of robot poses, using a relaxation algorithm to obtain a ...
Andreasson, Henrik   +2 more
core   +1 more source

Home - About - Disclaimer - Privacy