Mobile robot localization based on PSO estimator

DOI10.1002/asjc.2004zbMath1432.93342OpenAlexW2913831002WikidataQ128415983 ScholiaQ128415983MaRDI QIDQ5213911

Ramazan Havangi

Publication date: 6 February 2020

Published in: Asian Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/asjc.2004

zbMATH Keywords

localizationparticle filterparticle swarm optimization

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Approximation methods and heuristics in mathematical programming (90C59) Estimation and detection in stochastic control theory (93E10) Automated systems (robots, etc.) in control theory (93C85)

Cites Work

• A genetic algorithm for mobile robot localization using ultrasonic sensors
• Particle Swarm Optimization for Vehicle Positioning Based on Robust Cubature Kalman Filter
• An Improved Dual Unscented Kalman Filter for State and Parameter Estimation
• A Multiple Model Tracking Algorithm Based on an Adaptive Particle Filter
• Critical Issues on Kalman Filter with Colored and Correlated System Noises
• Adaptive Iterated Extended KALMAN Filter for Relative Spacecraft Attitude and Position Estimation
• Robust Monte Carlo localization for mobile robots

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