Mobile Robot Localization Integrating LRF Map-Matching and Odometry Based on Moving Horizon Estimation Considering Singular Environments

Transactions of the Society of Instrument and Control Engineers
doi 10.9746/sicetr.53.355
Full Text
Abstract

Available in full text

Date
Authors
Publisher

The Society of Instrument and Control Engineers

Related search

Robot Localization Based on Visual Odometry

2017English

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

A MAP Approach for Vision-Based Self-Localization of Mobile Robot

Zidonghua Xuebao/Acta Automatica Sinica
ControlSystems EngineeringComputer GraphicsInformation SystemsComputer-Aided DesignSoftware
2009English

Keyframes Global Map Establishing Method for Robot Localization Through Content-Based Image Matching

Journal of Robotics
ControlSystems EngineeringComputer Science
2017English

Omnidirectional Vision Scan Matching for Robot Localization in Dynamic Environments

IEEE Transactions on Robotics
ControlSystems EngineeringComputer Science ApplicationsElectricalElectronic Engineering
2006English

Mobile Robot Self-Localization in Unstructured Environments Based on Observation Localizability Estimation With Low-Cost Laser Range-Finder and RGB-D Sensors

International Journal of Advanced Robotic Systems
2016English

Mobile Robot Map Learning From Range Data in Dynamic Environments

English

Three-Dimensional Localization and Mapping for Mobile Robot in Disaster Environments

English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy