Optimal position and velocity navigation filters for autonomous vehicles

DOI10.1016/J.AUTOMATICA.2010.02.004zbMath1193.93171OpenAlexW2168502273WikidataQ59325580 ScholiaQ59325580MaRDI QIDQ983223

Carlos Silvestre, Pedro Batista, Paulo J. Oliveira

Publication date: 3 August 2010

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2010.02.004

zbMATH Keywords

navigationautonomous systemsmobile robotsestimation theoryunderwater vehicles

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05) Automated systems (robots, etc.) in control theory (93C85)

Related Items (10)

Partial attitude and rate gyro bias estimation: observability analysis, filter design, and performance evaluation ⋮ Sensor-Based Long Baseline Navigation: Observability Analysis and Filter Design ⋮ Single range aided navigation and source localization: observability and filter design ⋮ On the observability of linear motion quantities in navigation systems ⋮ Decentralized \(H_2\) observers for position and velocity estimation in vehicle formations with fixed topologies ⋮ Position USBL/DVL sensor-based navigation filter in the presence of unknown ocean currents ⋮ Distributed state estimation for linear multi-agent systems with time-varying measurement topology ⋮ Particle Swarm Optimization for Vehicle Positioning Based on Robust Cubature Kalman Filter ⋮ Decentralized state observers for range-based position and velocity estimation in acyclic formations with fixed topologies ⋮ Tightly coupled long baseline/ultra-short baseline integrated navigation system

Cites Work

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• Strapdown Inertial Navigation Integration Algorithm Design Part 2: Velocity and Position Algorithms
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