4 citations · 4 across the 10 of their papers we have counts for
5 papers · 1 filter
MI-SLAM: Magnetic Inertial SLAM Systems
Chuan Huang, Gustaf Hendeby, Isaac Skog
Spatially inhomogeneous magnetic fields offer a valuable, non-visual information source for positioning. Among systems leveraging this, magnetic field-based simultaneous localizati…
Performance Analysis of Communication Signals for Localization in Underwater Sensor Networks
Ashwani Koul, Gustaf Hendeby, Isaac Skog
Efficient localization in underwater sensor networks faces challenges due to limited bandwidth, energy constraints, and hardware complexity. Traditional systems separate sensing an…
Road Roughness Estimation via Fusion of Standard Onboard Automotive Sensors
Martin Agebjär, Gustav Zetterqvist, Fredrik Gustafsson +2
Road roughness significantly affects vehicle vibrations and ride quality. We introduce a Kalman filter (KF)-based method for estimating road roughness in terms of the international…
Joint Magnetometer-IMU Calibration via Maximum A Posteriori Estimation
Chuan Huang, Gustaf Hendeby, Isaac Skog
This paper presents a new method for jointly calibrating a magnetometer and inertial measurement unit (IMU), focusing on balancing calibration accuracy and computational efficiency…
On the Connection Between Magnetic-Field Odometry Aided Inertial Navigation and Magnetic-Field SLAM
Isaac Skog, Manon Kok, Gustaf Hendeby +2
Magnetic-field simultaneous localization and mapping (SLAM) using consumer-grade inertial and magnetometer sensors offers a scalable, cost-effective solution for indoor localizatio…