A synchronous nonlinear observer for LI-SLAM makes the full-state error dynamics almost globally asymptotically stable and locally exponentially stable by fusing intermittent GNSS and magnetometer measurements.
isam2: Incremental smoothing and mapping using the bayes tree,
3 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 3representative citing papers
A sonar-GPS fusion system using FMT local alignment and EKF global optimization reduces mapping drift by 9.5% versus baseline and achieves sub-meter accuracy in oyster farm field trials.
A bi-level optimization framework jointly calibrates noise covariances and kinematic parameters for improved state estimation accuracy in legged robots.
citing papers explorer
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Synchronous Observer Design for Landmark-Inertial SLAM with Magnetometer and Intermittent GNSS Measurements
A synchronous nonlinear observer for LI-SLAM makes the full-state error dynamics almost globally asymptotically stable and locally exponentially stable by fusing intermittent GNSS and magnetometer measurements.
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Sonar-GPS Fusion for Seabed Mapping in Turbid Shallow Waters with an Autonomous Surface Vehicle
A sonar-GPS fusion system using FMT local alignment and EKF global optimization reduces mapping drift by 9.5% versus baseline and achieves sub-meter accuracy in oyster farm field trials.
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Simultaneous Calibration of Noise Covariance and Kinematics for State Estimation of Legged Robots via Bi-level Optimization
A bi-level optimization framework jointly calibrates noise covariances and kinematic parameters for improved state estimation accuracy in legged robots.