4 citations · 4 across the 10 of their papers we have counts for
11 papers
A Computationally Efficient Likelihood Approximation for Target Tracking in Time-Varying Multipath Channels
Ashwani Koul, Gustaf Hendeby, Isaac Skog
Active sonar target tracking in shallow-water environments is challenging when weak target echoes are embedded in a time-varying background containing structured multipath componen…
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…
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…
Magnetic-Field-Based Localization Using Spatial Field Variations: Signal Processing Principles, Models, and Challenges
Isaac Skog, Manon Kok, Christophe Prieur +1
Signal processing has played, and continues to play, a fundamental role in the evolution of modern localization technologies. Localization using spatial variations in the Earth's m…
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…
Broadband Passive Sonar Track-Before-Detect Using Raw Acoustic Data
Daniel Bossér, Magnus Lundberg Nordenvaad, Gustaf Hendeby +1
This article concerns the challenge of reliable broadband passive sonar target detection and tracking in complex acoustic environments. Addressing this challenge is becoming increa…