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Vita
Axel Vierling studierte nach seinem Abitur in 2011 von 2011 bis 2017 Mathematik mit Schwerpunkt "Modellierung & wissenschaftliches Rechnen" an der Technischen Universität Kaiserslautern. Sein Studium beendete er mit seiner Masterarbeit mit dem Titel “Markov Jump Linear Systems in Wireless Communication” im Bereich der Technomathematik.
Ab April 2017 war Axel Vierling Promotionsstipendiat am Lehrstuhl Robotersysteme und seit April 2018 ist er dort als wissenschaftlicher Mitarbeiter tätig. Seine Forschungsschwerpunkte beinhalten die intelligente Perzeption der Umwelt mittels neuronaler Netze und insbesondere die Entwicklung möglicher Verifikationsansätze dieser. Motivierende Anwendungsbebiete sind Kamerabasierte Assistenzsysteme in Nutzfahrzeugen. Hierbei liegt der Hauptfokus auf der Erkennung von Personen aus der Vogelperspektive.
Veröffentlichungen
2024
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- Exploring Image Fusion Techniques for Off-Road Semantic Segmentation in Harsh Lighting Conditions. A Multispectral Imagery Analysis.
Proceedings of the 21st International Conference on Ubiquotous Robots (UR2024), (2024) - Evaluating the Robustness of Off-Road Autonomous Driving Segmentation against Adversarial Attacks. A Dataset-Centric analysis.
arXiv, (2024) - Evaluation of Robustness of Off-Road Autonomous Driving Segmentation against Adversarial Attacks. A Dataset-Centric Study.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, Nr. 3, S. 2237 - 2239. (2024) - Intuitive Motion. Acceleration-based Inverse Kinematics on Arbitrary Coordinates.
Walking Robots into Real World, Vol. 1, S. 239 - 251. (2024) - Outliers - Do Image and Feature Domain Outliers Coincide in Robotic Applications?.
Proceedings of the 33rd International Conference on Robotics in Alpe-Adria-Danube Region (RAAD 2024), (2024)
2023
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- Excavation pits - progress estimation and cause of delay identification.
Construction Robotics, Vol. 7, Nr. 1, S. 53 - 63. (2023) - Intralogistics application with a fleet of robots on a private 5G campus network.
(2023) - QUANTIFIABLE ROBUSTNESS ESTIMATION FOR OBJECT DETECTION WITH CNNS USING INTRINSIC DIMENSIONALITY.
Proceedings of the 30th International Conference on Image Processing (ICIP), (2023)
2022
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- Analysis of Object Detection Under Different Weather Conditions in Simulated and Real Environment.
Advances in Service and Industrial Robotics, S. 444 - 451. (2022) - Progress Estimation of an Excavation Pit.
Proceedings of the 39 th International Symposium on Automation and Robotics in Construction (ISARC 2022), (2022)
2021
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- Adaptive Zoom Control Approach of Load-View Crane Camera for Worker Detection.
Proceedings of the 38th International Symposium on Automation and Robotics in Construction (ISARC), S. 553 - 560. (2021) - Extending Skills of Autonomous Off-Road Robots on the Example of Behavior-Based Edge Compaction in a Road Construction Scenario.
Commercial Vehicle Technology 2020/2021. Proceedings of the 6th Commercial Vehicle Technology Symposium – CVT 2020/2021, (2021) - Localization using OSM landmarks.
2021 Latin American Robotics Symposium (LARS), 2021 Brazilian Symposium on Robotics (SBR), and 2021 Workshop on Robotics in Education (WRE), S. 228 - 233. (2021)
DOI: 10.1109/LARS/SBR/WRE54079.2021.9605475 ISBN: 978-1-6654-0761-8 - Provable Translational Robustness For Object Detection With Convolutional Neural Networks.
2021 IEEE International Conference on Image Processing (ICIP), S. 694 - 698. (2021) - Simulated Environment for Developing Crane Safety Assistance Technology.
Commercial Vehicle Technology 2020/2021, S. 459 - 470. (2021)
2020
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- Advanced scene aware navigation for the heavy duty off-road vehicle Unimog.
The 9th International Conference on Advanced Concepts in Mechanical Engineering – ACME 2020. IOP Conference Series, Vol. 997, S. 1 - 18. (2020)
DOI: 10.1088/1757-899x/997/1/012093 - Autonomous Off-Road Navigation using Near-Feature-Based World Knowledge Incorporation on the Example of Forest Path Detection.
Preprint submitted to Robotics and Autonomous Systems, (2020) - Data-Driven Worker Detection from Load-View Crane Camera.
Proceedings of the 37th International Symposium on Automation and Robotics in Construction (ISARC), S. 864 - 871. (2020) - Multi-Modal Depth Estimation Using Convolutional Neural Networks.
2020 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), (2020) - RADAR+RGB Fusion for Robust Object Detection in Autonomous Vehicles.
Proceedings of the 27th IEEE International Conference on Image Processing (ICIP), (2020) - Simulated Environment for Developing Crane Safety Assistance Technology.
Commercial Vehicle Technology 2020. Proceedings of the 6th Commercial Vehicle Technology Symposium – CVT 2020, (2020) - Simulation Platform for Crane Visibility Safety Assistance.
Advances in Service and Industrial Robotics, Vol. 84, (2020) - Towards High-Quality Road Construction. Using Autonomous Tandem Rollers for Asphalt Compaction Optimization.
Proceedings of the 37th International Symposium on Automation and Robotics in Construction (ISARC), S. 90 - 97. (2020)
2019
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- Dataset Generation Using A Simulated World.
Advances in Service and Industrial Robotics Proceedings of the 28th International Conference on Robotics in Alpe-Adria-Danube Region (RAAD 2019), S. 505 - 513. (2019)
2018
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- Crane safety system with monocular and controlled zoom cameras.
Proceedings of the 35th ISARC, Berlin, Germany, S. 873 - 879. (2018) - Numerical solution of Lyapunov equations related to Markov jump linear systems.
Numerical Linear Algebra with Applications, Vol. 25, Nr. 6, S. e2113. (2018)
2017