Mobile-robot pose estimation and environment mapping using an extended Kalman filter

DOI10.1080/00207721.2013.775379zbMath1317.93239OpenAlexW1977306091MaRDI QIDQ5499865

Igor Škrjanc, Luka Teslić, Gregor Klančar

Publication date: 31 July 2015

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2013.775379

zbMATH Keywords

mappingwheeled mobile robotextended Kalman filterlocalisation

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Estimation and detection in stochastic control theory (93E10) Automated systems (robots, etc.) in control theory (93C85)

Related Items (2)

Implementation of extended Kalman filter-based simultaneous localization and mapping: a point feature approach ⋮ Prescribed-time zero-error active disturbance rejection control for uncertain wheeled mobile robots subject to skidding and slipping

Uses Software

• EKF/UKF Toolbox

Cites Work

• On the design of an obstacle avoiding trajectory: Method and simulation

This page was built for publication: Mobile-robot pose estimation and environment mapping using an extended Kalman filter