Mobile Robot Localization. Revisiting the Triangulation Methods

IFAC Proceedings Volumes
doi 10.3182/20060906-3-it-2910.00058
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Elsevier BV

Related search

A New Three Object Triangulation Algorithm for Mobile Robot Positioning

IEEE Transactions on Robotics
ControlSystems EngineeringComputer Science ApplicationsElectricalElectronic Engineering
2014English

Biologically Inspired Mobile Robot Vision Localization

IEEE Transactions on Robotics
ControlSystems EngineeringComputer Science ApplicationsElectricalElectronic Engineering
2009English

Observability Analysis for Mobile Robot Localization

2005English

Robust Stereo Visual Odometry Using Improved RANSAC-Based Methods for Mobile Robot Localization

Sensors
InstrumentationInformation SystemsElectronic EngineeringBiochemistryAnalytical ChemistryMolecular Physics,ElectricalAtomicMedicineOptics
2017English

Lidar Scan-Matching for Mobile Robot Localization

Information Technology Journal
2010English

Autonomous Mobile Robot Localization Using Kalman Filter

MATEC Web of Conferences
Materials ScienceEngineeringChemistry
2016English

Mobile Robot Self-Localization Without Explicit Landmarks

Algorithmica
Applied MathematicsComputer Science ApplicationsComputer Science
2000English

Mobile Robot Localization From Large-Scale Appearance Mosaics

International Journal of Robotics Research
Electronic EngineeringMechanical EngineeringApplied MathematicsSimulationElectricalModelingArtificial IntelligenceSoftware
2000English

Model Based Kalman Filter Mobile Robot Self-Localization

2010English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy