Results 61 to 70 of about 1,847 (173)

Model-aided state estimation for quadrotor micro air vehicles amidst wind disturbances [PDF]

, 2014
© 2014 IEEE. This paper extends the recently developed Model-Aided Visual-Inertial Fusion (MA-VIF) technique for quadrotor Micro Air Vehicles (MAV) to deal with wind disturbances.
Abeywardena, D, Dissanayake, G, Kodagoda, S, Wang, Z, Waslander, SL   +4 more
core   +1 more source

Dynamic feature detection using virtual correction and camera oscillations [PDF]

, 2014
Visual SLAM algorithms exploit natural scene features to infer the camera motion and build a map of a static environment. In this paper, we relax the severe assumption of a static scene to allow for the detection and deletion of dynamic points.
Abdellatif, Mohamed, Abouelsoud, A. A., Babaguchi, Noboru, Heshmat, Mohamed, Nakamura, Kazuaki   +4 more
core   +1 more source

DOE-SLAM: Dynamic Object Enhanced Visual SLAM

Sensors, 2021
In this paper, we formulate a novel strategy to adapt monocular-vision-based simultaneous localization and mapping (vSLAM) to dynamic environments. When enough background features can be captured, our system not only tracks the camera trajectory based on
Xiao Hu, Jochen Lang
doaj   +1 more source

Researches advanced in VSLAM for dynamic environment

Journal of Physics: Conference Series, 2023
Abstract Simultaneous Localization and Mapping (SLAM), which has been widely utilized in a number of different fields, including unmanned vehicle, path planning, and robotics, has always been a topic of significant concern to computer vision community. Visual SLAM (VSLAM) only relies on cameras as sensors.
Qimin Wang, Peilin Wu
openaire   +1 more source

From Augmentation to Inpainting: Improving Visual SLAM With Signal Enhancement Techniques and GAN-Based Image Inpainting

IEEE Access
This paper undertakes a comprehensive investigation that surpasses the conventional examination of signal enhancement techniques and their effects on visual Simultaneous Localization and Mapping (vSLAM) performance across diverse scenarios.
Charalambos Theodorou, Vladan Velisavljevic, Vladimir Dyo, Fredi Nonyelu   +3 more
doaj   +1 more source

A Unified Framework for Mutual Improvement of SLAM and Semantic Segmentation

, 2019
This paper presents a novel framework for simultaneously implementing localization and segmentation, which are two of the most important vision-based tasks for robotics.
Han, Liming, Hua, Minjie, Huang, Bill, Lian, Shiguo, Lin, Yimin, Wang, Kai, Wang, Luowei, Wang, Xiang   +7 more
core   +1 more source

An Improved Visual SLAM Algorithm Based on Graph Neural Network

IEEE Access, 2023
Feature extraction and matching are irreplaceable parts of a typical visual simultaneous localization and mapping (VSLAM) algorithm. A variety of different approaches (e.g., ORB, Superpoint, GCNv2, etc.) have been proposed for effective feature ...
Wei Wang, Tao Xu, Kaisheng Xing, Jinhui Liu, Mengyuan Chen   +4 more
doaj   +1 more source

Sparse 3D Point-cloud Map Upsampling and Noise Removal as a vSLAM Post-processing Step: Experimental Evaluation

, 2018
The monocular vision-based simultaneous localization and mapping (vSLAM) is one of the most challenging problem in mobile robotics and computer vision. In this work we study the post-processing techniques applied to sparse 3D point-cloud maps, obtained ...
A Hornung, C Cadena, E Magid, F Caballero, J Engel, JJ Leonard, JL Blanco, K Yakovlev, RB Rusu, V Sazdovski   +9 more
core   +1 more source

GPS‐Denied LiDAR‐Based SLAM—A Survey

IET Cyber-Systems and Robotics, Volume 7, Issue 1, January/December 2025.
ABSTRACT In recent years, significant advancements have been made in enabling intelligent unmanned agents to achieve autonomous navigation and positioning within large‐scale indoor or underground environments. Central to these achievements is simultaneous localization and mapping (SLAM) technology.
Haolong Jiang, Yikun Cheng, Weichen Dai, Wenbin Wan, Qinyao Liu, Fanxin Wang   +5 more
wiley   +1 more source

Towards vision based navigation in large indoor environments [PDF]

, 2006
The main contribution of this paper is a novel stereo-based algorithm which serves as a tool to examine the viability of stereo vision solutions to the simultaneous localisation and mapping (SLAM) for large indoor environments.
Dissanayake, G, Miro, JV, Weizhen, Z
core   +1 more source