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

4 citations · 4 across the 5 of their papers we have counts for

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5 papers

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…

eess.SP2026

Bernoulli Filtering for Multi-Sensor Tracking with Thresholded Measurements

Gustav Zetterqvist, Fredrik Gustafsson, Gustaf Hendeby

Target tracking is challenging when sensor detection thresholds cause state-dependent missed detections, particularly in multi-sensor scenarios with clutter and uncertain target ex…

cs.CV2026

Multi-Object Tracking Consistently Improves Wildlife Inference

Mufhumudzi Muthivhi, Jiahao Huo, Fredrik Gustafsson +1

Camera traps have become a common tool for wildlife monitoring efforts in ecological research and biodiversity conservation. Wildlife classification models have benefited from the…

eess.SP2025★ 4 cited

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…

eess.SP2024

Joint State and Parameter Estimation Using the Partial Errors-in-Variables Principle

Peng Liu, Kailai Li, Gustaf Hendeby +1

This letter proposes a new method for joint state and parameter estimation in uncertain dynamical systems. We exploit the partial errors-in-variables (PEIV) principle and formulate…