From the 1 of 10 linked papers with an AI index.
10 papers
Magnetic-Field-Based Localization Using Spatial Field Variations: Signal Processing Principles, Models, and Challenges
Isaac Skog, Manon Kok, Christophe Prieur +1
The paper surveys signal‑processing methods for indoor and outdoor localization that exploit spatial variations in the Earth's magnetic field, covering modeling, state inference, a…
Utilizing Missed Detections in Directional Sensitivity-Based DOA Estimation
Gustav Zetterqvist, Fredrik Gustafsson, Gustaf Hendeby
This paper introduces a signal strength-based direction of arrival (DOA) estimation approach for directional sensors that explicitly accounts for missed detections. In traditional…
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…
Inertial Magnetic SLAM Systems Using Low-Cost Sensors
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…
BF-Map: Crowd-sourced Mapping with Bayesian B-spline Fusion
Yiping Xie, Yuxuan Xia, Erik Stenborg +5
Crowd-sourced mapping offers a scalable alternative to creating maps using traditional survey vehicles. Yet, existing methods either rely on prior high-definition (HD) maps or negl…
Tracking Time-Varying Multipath Channels forActive Sonar Applications
Ashwani Koul, Gustaf Hendeby, Isaac Skog
Reliable detection and tracking in active sonar require accurate and efficient learning of the acoustic multipath background environment. Conventionally, background learning is per…