output
20082025
most citedBioTracker: An Open-Source Computer Vision Framework for Visual Animal Tracking

43 citations

16 papers

cs.RO2025

Toward an Agricultural Operational Design Domain: A Framework

Mirco Felske, Jannik Redenius, Georg Happich +1

The agricultural sector increasingly relies on autonomous systems that operate in complex and variable environments. Unlike on-road applications, agricultural automation integrates…

eess.SY2025

Accounting for Subsystem Aging Variability in Battery Energy Storage System Optimization

Melina Graner, Martin Cornejo, Holger Hesse +1

This paper presents a degradation-cost-aware optimization framework for multi-string battery energy storage systems, emphasizing the impact of inhomogeneous subsystem-level aging i…

eess.SY2025

Evaluating the Impact of Model Accuracy for Optimizing Battery Energy Storage Systems

Martin Cornejo, Melina Graner, Holger Hesse +1

This study investigates two models of varying complexity for optimizing intraday arbitrage energy trading of a battery energy storage system using a model predictive control approa…

cs.LG2025

How Effective Is Constitutional AI in Small LLMs? A Study on DeepSeek-R1 and Its Peers

Antonio-Gabriel Chacón Menke, Phan Xuan Tan

Recent incidents highlight safety risks in Large Language Models (LLMs), motivating research into alignment methods like Constitutional AI (CAI). This paper explores CAI's self-cri…

cs.RO2025★ 5 cited

Simulation-based Analysis Of Highway Trajectory Planning Using High-Order Polynomial For Highly Automated Driving Function

Milin Patel, Marzana Khatun, Rolf Jung +1

One of the fundamental tasks of autonomous driving is safe trajectory planning, the task of deciding where the vehicle needs to drive, while avoiding obstacles, obeying safety rule…

cs.HC2025★ 1 cited

Simulation-based Testing of Foreseeable Misuse by the Driver applicable for Highly Automated Driving

Milin Patel, Rolf Jung, Yasin Cakir

With Highly Automated Driving (HAD), the driver can engage in non-driving-related tasks. In the event of a system failure, the driver is expected to reasonably regain control of th…

cs.CV2025★ 4 cited

Simulation-Based Performance Evaluation of 3D Object Detection Methods with Deep Learning for a LiDAR Point Cloud Dataset in a SOTIF-related Use Case

Milin Patel, Rolf Jung

Safety of the Intended Functionality (SOTIF) addresses sensor performance limitations and deep learning-based object detection insufficiencies to ensure the intended functionality…

cs.SE2025

Simulation-Based Application of Safety of The Intended Functionality to Mitigate Foreseeable Misuse in Automated Driving Systems

Milin Patel, Rolf Jung

The development of Automated Driving Systems (ADS) has the potential to revolutionise the transportation industry, but it also presents significant safety challenges. One of the ke…

cs.HC2024★ 3 cited

Low-code from frontend to backend: Connecting conversational user interfaces to backend services via a low-code IoT platform

Irene Weber

Current chatbot development platforms and frameworks facilitate setting up the language and dialog part of chatbots, while connecting it to backend services and business functions…

math.HO2024★ 3 cited

A tour d'horizon of de Casteljau's work

Andreas Müller

Whilst Paul de Casteljau is now famous for his fundamental algorithm of curve and surface approximation, little is known about his other findings. This article offers an insight in…

eess.SY2024★ 2 cited

Depreciation Cost is a Poor Proxy for Revenue Lost to Aging in Grid Storage Optimization

Volkan Kumtepeli, Holger Hesse, Thomas Morstyn +3

Dispatch of a grid energy storage system for arbitrage is typically formulated into a rolling-horizon optimization problem that includes a battery aging model within the cost funct…

eess.SY2024★ 13 cited

Steering Feedback in Dynamic Driving Simulators: The Influence of Steering Wheel Vibration and Vehicle Motion Frequency

Maximilian Böhle, Bernhard Schick, Steffen Müller

The validity of the subjective evaluation of steering feedback in driving simulators is crucial for modern vehicle development. Although there are established objective steering ch…

cs.CV2020★ 2 cited

Don't miss the Mismatch: Investigating the Objective Function Mismatch for Unsupervised Representation Learning

Bonifaz Stuhr, Jürgen Brauer

Finding general evaluation metrics for unsupervised representation learning techniques is a challenging open research question, which recently has become more and more necessary du…

cs.CV2020★ 7 cited

CSNNs: Unsupervised, Backpropagation-free Convolutional Neural Networks for Representation Learning

Bonifaz Stuhr, Jürgen Brauer

This work combines Convolutional Neural Networks (CNNs), clustering via Self-Organizing Maps (SOMs) and Hebbian Learning to propose the building blocks of Convolutional Self-Organi…

cs.CV2018★ 43 cited

BioTracker: An Open-Source Computer Vision Framework for Visual Animal Tracking

Hauke Jürgen Mönck, Andreas Jörg, Tobias von Falkenhausen +7

The study of animal behavior increasingly relies on (semi-) automatic methods for the extraction of relevant behavioral features from video or picture data. To date, several specia…

cs.CR2008

Protocol Channels

Steffen Wendzel

Covert channel techniques are used by attackers to transfer data in a way prohibited by the security policy. There are two main categories of covert channels: timing channels and s…