PUBLICACIÓN

A novel robust scene change detection algorithm for autonomous robots using mixtures of Gaussians

Logo Open Access

ACCEDER A LA PUBLICACIÓN: Scopus Orcid

Luis J. Manso, Pedro Núñez, Sidnei da Silva, Paulo Drews-Jr

2014 International Journal of Advanced Robotic Systems

Artificial Intelligence (Q3), Computer Science Applications (Q3), Software (Q3)

JCR: 0.526

SJR: 0.297

CITAS

7

DOI

10.5772/57360

EID

2-s2.0-84894434890

ISSN

1729-8806

EISSN

1729-8814

BIBTEX

@article{Manso_2014,doi = {10.5772/57360},url = {https://doi.org/10.5772%2F57360},year = 2014,month = {jan},publisher = {{SAGE} Publications},volume = {11},number = {2},pages = {18},author = {Luis J. Manso and Pedro N{\'{u}}{\~{n}}ez and Sidnei da Silva and Paulo Drews-Jr},title = {A Novel Robust Scene Change Detection Algorithm for Autonomous Robots Using Mixtures of Gaussians},journal = {International Journal of Advanced Robotic Systems}}

AUTORES DE LA UEX

Pedro Miguel Núñez Trujillo

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Multi-Cue Visual Obstacle Detection For Mobile Robots
Improving A Robotics Framework With Real-Time And High-Performance Features
Multi-Cue Visual Obstacle Detection For Mobile Robots
Combined Constraint Matching Algorithm For Stereo Visual Odometry Based On Local Interest Points
Multi-Cue Visual Obstacle Detection For Mobile Robots
Combined Constraint Matching Algorithm For Stereo Visual Odometry Based On Local Interest Points
Novelty Detection And 3d Shape Retrieval Based On Gaussian Mixture Models For Autonomous Surveillance Robotics
Combined Constraint Matching Algorithm For Stereo Visual Odometry Based On Local Interest Points
Novelty Detection And 3d Shape Retrieval Based On Gaussian Mixture Models For Autonomous Surveillance Robotics
A Novel Approach For Salient Image Regions Detection And Description
Novelty Detection And 3d Shape Retrieval Based On Gaussian Mixture Models For Autonomous Surveillance Robotics
A Novel Approach For Salient Image Regions Detection And Description
Spectral Clustering For Feature-Based Metric Maps Partitioning In A Hybrid Mapping Framework
A Novel Approach For Salient Image Regions Detection And Description
Spectral Clustering For Feature-Based Metric Maps Partitioning In A Hybrid Mapping Framework
Curvature-Based Environment Description For Robot Navigation Using Laser Range Sensors
Spectral Clustering For Feature-Based Metric Maps Partitioning In A Hybrid Mapping Framework
Curvature-Based Environment Description For Robot Navigation Using Laser Range Sensors
Fast Laser Scan Matching Approach Based On Adaptive Curvature Estimation For Mobile Robots
Curvature-Based Environment Description For Robot Navigation Using Laser Range Sensors
Fast Laser Scan Matching Approach Based On Adaptive Curvature Estimation For Mobile Robots
An Efficient Algorithm For Extrinsic Calibration Between A 3d Laser Range Finder And A Stereo Camera For Surveillance
Fast Laser Scan Matching Approach Based On Adaptive Curvature Estimation For Mobile Robots
An Efficient Algorithm For Extrinsic Calibration Between A 3d Laser Range Finder And A Stereo Camera For Surveillance
Cf-Idc: A Robust Robot's Self-Localization In Dynamic Environments Using Curvature Information
An Efficient Algorithm For Extrinsic Calibration Between A 3d Laser Range Finder And A Stereo Camera For Surveillance
Cf-Idc: A Robust Robot's Self-Localization In Dynamic Environments Using Curvature Information
Natural Landmark Extraction For Mobile Robot Navigation Based On An Adaptive Curvature Estimation
Cf-Idc: A Robust Robot's Self-Localization In Dynamic Environments Using Curvature Information
Natural Landmark Extraction For Mobile Robot Navigation Based On An Adaptive Curvature Estimation
An Algorithm For Fitting 2-D Data On The Circle: Applications To Mobile Robotics
Natural Landmark Extraction For Mobile Robot Navigation Based On An Adaptive Curvature Estimation
An Algorithm For Fitting 2-D Data On The Circle: Applications To Mobile Robotics
Simultaneous Mobile Robot Localization And Mapping Using An Adaptive Curvature-Based Environment Description
An Algorithm For Fitting 2-D Data On The Circle: Applications To Mobile Robotics
Simultaneous Mobile Robot Localization And Mapping Using An Adaptive Curvature-Based Environment Description
A Curvature Based Method To Extract Natural Landmarks For Mobile Robot Navigation
Simultaneous Mobile Robot Localization And Mapping Using An Adaptive Curvature-Based Environment Description
A Curvature Based Method To Extract Natural Landmarks For Mobile Robot Navigation
Feature Extraction From Laser Scan Data Based On Curvature Estimation For Mobile Robotics
A Curvature Based Method To Extract Natural Landmarks For Mobile Robot Navigation
Feature Extraction From Laser Scan Data Based On Curvature Estimation For Mobile Robotics
Slam With Corner Features From A Novel Curvature-Based Local Map Representation
Feature Extraction From Laser Scan Data Based On Curvature Estimation For Mobile Robotics
Slam With Corner Features From A Novel Curvature-Based Local Map Representation
Adaptive Observation Covariance For Ekf-Slam In Indoor Environments Using Laser Data
Slam With Corner Features From A Novel Curvature-Based Local Map Representation
Adaptive Observation Covariance For Ekf-Slam In Indoor Environments Using Laser Data
A Human-Robot Interaction System For Navigation Supervision Based On Augmented Reality
Adaptive Observation Covariance For Ekf-Slam In Indoor Environments Using Laser Data
A Human-Robot Interaction System For Navigation Supervision Based On Augmented Reality
A Software Control Architecture Based On Active Perception For Mobile Robotics
A Human-Robot Interaction System For Navigation Supervision Based On Augmented Reality
A Software Control Architecture Based On Active Perception For Mobile Robotics
A Hough-Based Method For Concurrent Mapping And Localization In Indoor Environments
A Software Control Architecture Based On Active Perception For Mobile Robotics
A Hough-Based Method For Concurrent Mapping And Localization In Indoor Environments
An Efficient And Versatile Digital Twin Model Implementation For Autonomous Connected Vehicles Based On Distributed, Low-Latency Working Memory
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