activity
20212026
most citedState estimation with the Interacting Multiple Model (IMM) method

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2026

Toward Automated Virtual Electronic Control Unit (ECU) Twins for Shift-Left Automotive Software Testing

Sebastian Dingler, Frederik Boenke

Automotive software increasingly outpaces hardware availability, forcing late integration and expensive hardware-in-the-loop (HiL) bottlenecks. The InnoRegioChallenge project inves…

cs.SE2025

Event-Chain Analysis for Automated Driving and ADAS Systems: Ensuring Safety and Meeting Regulatory Timing Requirements

Sebastian Dingler, Philip Rehkop, Florian Mayer +1

Automated Driving Systems (ADS), including Advanced Driver Assistance Systems (ADAS), must fulfill not only high functional expectations but also stringent timing constraints manda…

cs.RO2025

A visual study of ICP variants for Lidar Odometry

Sebastian Dingler, Hannes Burrichter

Odometry with lidar sensors is a state-of-the-art method to estimate the ego pose of a moving vehicle. Many implementations of lidar odometry use variants of the Iterative Closest…

eess.SY2022★ 2 cited

State estimation with the Interacting Multiple Model (IMM) method

Sebastian Dingler

For model-based estimation methods, the modeling that is as close to reality as possible makes a vital estimation result. In simple applications, it is sufficient to model a system…

eess.SY2021

Fitting ellipses to noisy measurements

Sebastian Dingler

This work deals with fitting of ellipses to noisy measurements. The literature knows many different approaches for this. The main representatives are presented and discussed in thi…