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publications

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

Published in ICINCO, 2021

In this work a software architecture for automated deposition of 3D printed objects with a 5 DoF robot manipulator is presented.

Recommended citation: 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
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Semantic 3D scene segmentation for robotic assembly process execution

Published in CASE 2023, 2023

This paper is about a robot manipulator autonomously exploring a new workspace and segmenting it semantically in order to execute an assembly process

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

Published in ACL Findings, 2025

In this work an approach using LLM to rank papers for relevance to a research question for Systematic Literature Reviews is presented.

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

Published in IEEE/CVF International Conference on Computer Vision (ICCV), 2025

In this work we present the first dataset that includes RGB cameras, IR cameras and LiDAR sensors for autonomous driving from a Road Side Unit Perception

Recommended citation: 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).
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A Systematic Literature Review on Vehicular Collaborative Perception — A Computer Vision Perspective

Published in IEEE Transactions on Intelligent Transportation Systems, 2025

In this work a systematic literature review on collaborative perception for autonomous driving was performed. The focus here is on computer vision algorithms and datasets.

Recommended citation: 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.
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teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015