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20242026
most citedRoad Roughness Estimation via Fusion of Standard Onboard Automotive Sensors

4 citations · 4 across the 10 of their papers we have counts for

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5 papers · 1 filter

eess.SP2026

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…

eess.SP2026

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…

cs.RO2026

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…

eess.SP2026

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…

eess.SP2026

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…