CV

Education

• M.S. in Applied Research in Computer Science at University of Applied Sciences Augsburg, 2023
• B.Eng. in Computer Engineering at University of Applied Sciences Augsburg, 2021

Work experience

• Aug 2023 - : Autonomous systems researcher (pursuing PhD)
  • XITASO GmbH
  • Duties includes:
    • Sensor fusion with RGB-Thermal camera for VALISENS project
    • Reseach in self-adaptive software systems for ENGEL project
    • Research Project management
    • Student supervision
• Sep 2021 - June 2023: Research Assistant
  • University of Applied Sciences Augsburg
  • Duties includes: Semantic scene segmentation for autonomous workspace exploration with a robot manipulator
  • Supervisor: Simon Dietrich, Florian Kerber
• Sep 2020 - July 2021 Working Student
  • XITASO GmbH
  • Duties included: Bachelor thesis about CAD-based Grasp and Motion Planning for robot manipulator
• Feb - June 2020: Intern Software developer
  • BMK Group GmbH & Co. KG
  • Duties included: Setting up SFTP server on FreeRTOS

Skills

• Computer Vision including 2D Object detection and 3D semantic segmentation
• Robotic Software development
  • ROS/ROS2
  • Behavior Trees
• Programming languages such as C/C++/Python

Review activities

• ACSOS (IEEE International Conference on Autonomic Computing and Self-Organizing Systems) 2026 - As subreviewer
• RoSE (Robotic Software Engineering Workshop co-located with ICRA) 2026 - As subreviewer
• SEAMS (International Conference on Software Engineering for Adapting and Self-managing systems) 2026 - As subreviewer

Publications

A Systematic Literature Review on Vehicular Collaborative Perception — A Computer Vision Perspective

Wan, L., Zhao, J., Wiedholz, A., Bied, M., Lucena, M., Dinkar Jagtap, A., Festag, A., Augusto Fröhlich, A., Ejaz Keen, H., & Vinel, A. (2025). A Systematic Literature Review on Vehicular Collaborative Perception—A Computer Vision Perspective. IEEE Transactions on Intelligent Transportation Systems, 1-38.

R-LiViT: A LiDAR-Visual-Thermal Dataset for Enhanced Roadside Perception of Vulnerable Road Users

Jonas Mirlach, Lei Wan, Andreas Wiedholz, Hannan Ejaz Keen, & Andreas Eich (2025). R-LiViT: A LiDAR-Visual-Thermal Dataset Enabling Vulnerable Road User Focused Roadside Perception. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV).

LGAR: Zero-Shot LLM-Guided Neural Ranking for Abstract Screening in Systematic Literature Reviews

Christian Jaumann, Andreas Wiedholz, and Annemarie Friedrich. 2025. LGAR: Zero-Shot LLM-Guided Neural Ranking for Abstract Screening in Systematic Literature Reviews. In Findings of the Association for Computational Linguistics: ACL 2025, pages 7910–7927, Vienna, Austria. Association for Computational Linguistics.

Semantic 3D scene segmentation for robotic assembly process execution

A. Wiedholz, S. Wucherer, S. Dietrich and F. Kerber, "Semantic 3D Scene Segmentation for Robotic Assembly Process Execution," 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), Auckland, New Zealand, 2023, pp. 1-6, doi: 10.1109/CASE56687.2023.10260532.

CAD-based grasp and motion planning for process automation in fused deposition modelling

Wiedholz, A., Heider, M., Nordsieck, R., Angerer, A., Dietrich, S. and Hähner, J. (2021). CAD-based Grasp and Motion Planning for Process Automation in Fused Deposition Modelling. In Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - ICINCO; ISBN 978-989-758-522-7; ISSN 2184-2809, SciTePress, pages 450-458. DOI: 10.5220/0010571204500458