Results 151 to 160 of about 1,847 (173)

Basics and Advances in Monocular vSLAM

2020
This chapter presents basics and recent advances in visual tracking for augmented reality, computer vision, and robotics applications. Specifically, we focus on visual simultaneous localization and mapping (vSLAM) algorithms that allow both camera pose estimation and 3D model generation in unprepared environments.
Hideaki Uchiyama, Takafumi Taketomi, Sei Ikeda, Shohei Mori   +3 more
openaire   +1 more source

Graph-based visual odometry for VSLAM

Industrial Robot: An International Journal, 2018
Purpose Typical feature-matching algorithms use only unary constraints on appearances to build correspondences where little structure information is used. Ignoring structure information makes them sensitive to various environmental perturbations. The purpose of this paper is to propose a novel graph-based method that aims to improve matching accuracy ...
Shaoyan Xu, Tao Wang, Congyan Lang, Songhe Feng, Yi Jin   +4 more
openaire   +1 more source

Cooperative vSLAM based on UAV application

2012 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2012
This paper addresses research into the application of cooperative visual SLAM for utilization within UAVs. The research utilized a synthetic approach to examine a cooperative data fusing strategy for multiple UAVs equipped with stereo vision camera systems, where the collaborative estimation was implemented with an information filter and covariance ...
Xiaodong Li, Nabil Aouf
openaire   +1 more source

Sparse VSLAM with Camera-Equipped Quadrocopter

2012
A successful Video-based Simultaneous Localization And Mapping (VSLAM) implementation usually requires a vast amount of feature points to be detected in the environment, which makes the VSLAM problem s computationally demanding operation in mobile robot navigation.
Matevž Bošnak, Sašo Blažič
openaire   +1 more source

INS/vSLAM system using distributed particle filter

International Journal of Control, Automation and Systems, 2010
In implementing an INS/SLAM integrated navigation system based on the vision sensor, a suboptimal nonlinear filter is used to figure out the nonlinear characteristics in measurement and noise model. When a conventional centralized filter is used, however, the entire state vectors need to be reconfigured in every necessary cycle as the number of feature
Dae Hee Won, Sebum Chun, Sangkyung Sung, Young Jae Lee, Jeongho Cho, Jungmin Joo, Jungkeun Park   +6 more
openaire   +1 more source

Experimental Research on Cooperative vSLAM for UAVs

2013 Fifth International Conference on Computational Intelligence, Communication Systems and Networks, 2013
The research work on the application of cooperative visual SLAM for utilization within UAVs is addressed in this paper. This experimental study utilized a synthetic approach to fulfill a cooperative data fusing strategy for multiple UAVs equipped with stereo vision camera systems, where the collaborative estimation was implemented with an information ...
Xiaodong Li, Nabil Aouf
openaire   +1 more source

Estimation analysis in VSLAM for UAV application

2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 2012
This paper presents an in-depth evaluation of filter algorithms utilized in the estimation of 3D position and attitude for UAV using stereo vision based Visual SLAM integrated with feature detection and matching techniques i.e., SIFT and SURF. The evaluation's aim was to investigate the accuracy and robustness of the filters' estimation for vision ...
Xiaodong Li, Nabil Aouf, Abdelkrim Nemra
openaire   +1 more source

vSlam experiments in a custom simulated environment

2015 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2015
In order to perform vSLAM experiments, a camera capturing information along a certain path is necessary. What if the resources to execute this are not available or a proof of concept is needed before a real application? This paper describes a simple method of combining MATLAB and Blender to perform vSLAM experiments in a custom created environment.
Marcus V P Lima, Vinicius B Bastos, Paulo R G Kurka, Darla C Araujo   +3 more
openaire   +1 more source

FC-vSLAM: Integrating Feature Credibility in Visual SLAM

2020 International Conference on 3D Vision (3DV), 2020
Feature-based visual SLAM (vSLAM) systems compute camera poses and scene maps by detecting and matching 2D features, mostly being points and line segments, from image sequences. These systems often suffer from unreliable detections. In this paper, we define feature credibility (FC) for both points and line segments, formulate it into vSLAMs and develop
Shuai Xie, Wei Ma, Qiuyuan Wang, Ruchang Xu, Hongbin Zha   +4 more
openaire   +1 more source

POSTER: Runtime Adaptations for Energy-Efficient VSLAM

2019 28th International Conference on Parallel Architectures and Compilation Techniques (PACT), 2019
As Visual Simultaneous Localisation and Mapping (VSLAM) formulations are increasingly deployed on low-power mobile platforms, it is essential to manage their power consumption in the context of minimal impact on their accuracy or robustness. This is particularly challenging when the runtime changes in motion or scene complexity are unknown in advanced.
Abdullah Khalufa, Graham Riley, Mikel Lujan   +2 more
openaire   +1 more source