M. Sc. Pankaj Deoli

Contact

Room 48-352

Tel.: +49 631 205 2805

e-mail: pankaj.deoli(at)cs.rptu.de

Vita

Pankaj Deoli completed his bachelor's in Mechanical Engineering (with specialization in automotive engineering) from Graphic Era University, Dehradun, India. At the Technische Universität Kaiserslautern, he studied Commercial Vehicle Technology (with specialization in Intelligent systems) for his Master's degree. His Master Thesis at the Robotic Research Laboratory was focussed towards rock detection in earth's off-road environments, wherein the capabilities of deep neural networks for this challenging task were studied.

Since January 2022, Pankaj Deoli is a phd-student in the Robotic Research Laboratory exploring the domain of off-road environment perception for autonomous navigation. His research interests lies in imitating human minds for effective scene representation with use-cases in commercial vehicles.

Publications

2024

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  • Evaluating the Robustness of Off-Road Autonomous Driving Segmentation against Adversarial Attacks. A Dataset-Centric analysis.
    Pankaj Deoli, Rohit Kumar, Axel Vierling and Karsten Berns
    arXiv, (2024)
  • Evaluation of Robustness of Off-Road Autonomous Driving Segmentation against Adversarial Attacks. A Dataset-Centric Study.
    Pankaj Deoli, Rohit Kumar, Axel Vierling and Karsten Berns
    Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, Nr. 3, S. 2237–2239. (2024)
  • Exploring Image Fusion Techniques for Off-Road Semantic Segmentation in Harsh Lighting Conditions. A Multispectral Imagery Analysis.
    Pankaj Deoli, Shuham Deshpande, Axel Vierling and Karsten Berns
    Proceedings of the 21st International Conference on Ubiquotous Robots (UR2024), (2024)

2023

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  • Navigating Off-roads. Using Deep neural Networks for Rock detection in off-road Autonomous Driving with Unimog.
    Pankaj Deoli, Patrick Wolf and Karsten Berns
    20th International Conference on Ubiquitous Robots (UR 2023), (2023)

2022

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  • Traction optimization for robust navigation in unstructured environments using deep neural networks on the example of the off-road truck Unimog.
    Patrick Wolf, Pankaj Deoli, Satish Thangellapally and Karsten Berns
    17th International Conference on Intelligent Autonomous Systems – IAS-17, S. 191 - 208. (2022)
  • Universelle Nutzfahrzeugkonzepte zum autonomen ­Arbeiten in herausfordernden Umgebungen. Ein Zwischenbericht zum Projekt »Autonome Arbeitsmaschine für den Einsatz in Anwendungen wie Katastrophenschutz/ Feuerwehr, Forstwirtschaft und Weinbau«..
    Karsten Berns, Patrick Wolf and Pankaj Deoli
    CVC News, Vol. 2, S. 20 - 24. (2022)

2021

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  • Towards effective Rock detection in Off-Road environments for Autonomous Navigation.
    Pankaj Deoli
    (2021)