Results 51 to 60 of about 9,269 (274)

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

Attentional Landmarks and Active Gaze Control for Visual SLAM [PDF]

open access: yes, 2008
This paper is centered around landmark detection, tracking, and matching for visual simultaneous localization and mapping using a monocular vision system with active gaze control.
Frintrop, Simone, Jensfelt, Patric,
core   +1 more source

Analysis of a stereo visual SLAM system in a virtual and real environment [PDF]

open access: yes, 2023
openLa localizzazione e mappatura simultanea (Simultaneous Localization And Mapping, SLAM) è un sistema che permette ad un robot, o generico dispositivo mobile, di costruire una mappa dell’ambiente circostante e allo stesso tempo di definire la propria ...
SABBADIN, DAVIDE
core  

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

Performance improvement in VSLAM using stabilized feature points [PDF]

open access: yes, 2013
Simultaneous localization and mapping (SLAM) is the main prerequisite for the autonomy of a mobile robot. In this paper, we present a novel method that enhances the consistency of the map using stabilized corner features.
Şahin, Caner   +3 more
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

GHRHR Deficiency Enhances Retinal Ganglion Cell Survival and Visual Functions in Experimental Glaucoma by Inhibiting Ferroptosis

open access: yesAdvanced Science, EarlyView.
Glaucoma, a major cause of blindness, involves retinal ganglion cell (RGC) degeneration. This study shows growth hormone‐releasing hormone receptor (GHRHR) deficiency preserves RGC survival and restores vision, unlike activation which only aids survival.
Yan Tong   +24 more
wiley   +1 more source

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

open access: yesAdvanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu   +16 more
wiley   +1 more source

OpenVSLAM: A Versatile Visual SLAM Framework [PDF]

open access: yes, 2019
In this paper, we introduce OpenVSLAM, a visual SLAM framework with high usability and extensibility. Visual SLAM systems are essential for AR devices, autonomous control of robots and drones, etc. However, conventional open-source visual SLAM frameworks
Sumikura, Shinya   +5 more
core   +2 more sources

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 0001   +3 more
openaire   +2 more sources

Home - About - Disclaimer - Privacy