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

43 citations

Showing 2025Show all

8 papers · 1 filter

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…