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Publications

Displaying results 551 to 560 of 646.

  1. Fabio Vulpi; Annalisa Milella; Florian Cordes; Raúl Domínguez; Giulio Reina

    Deep Terrain Estimation for Planetary Rovers

    In: 15th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS'20). International Symposium on Artificial Intelligence, Robotics and Automation in Space (iSAIRAS-2020), October 19, Online-Conference, 10/2020.

  2. Jason Raphael Rambach

    Learning Priors for Augmented Reality Tracking and Scene Understanding

    PhD-Thesis, Technische Universität Kaiserslautern, ISBN 978-3-8439-4555-4, Dr.Hut, München, 9/2020.

  3. Mateus Dias Ribeiro; Abdul Rehman; Sheraz Ahmed; Andreas Dengel

    DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks

    4/2020.

  4. Noshaba Cheema; Laura A. Frey-Law; Kourosh Naderi; Jaakko Lehtinen; Philipp Slusallek; Perttu Hämäläinen

    Predicting Mid-Air Interaction Movements and Fatigue Using Deep Reinforcement Learning

    In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. ACM International Conference on Human Factors in Computing Systems (CHI-2020), April 25-30, Honolulu, HI, USA, ISBN 9781450367080, Association for Computing Machinery, 2020.

  5. Swaroop Bhandary; Nico Hochgeschwender; Paul Plöger; Frank Kirchner; Matias Valdenegro-Toro

    Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds

    In: Workshop on Uncertainty and Robustness in Deep Learning. International Conference on Machine Learning (ICML-2020), July 12-18, Online, Austria, Keine, 2020.

  6. Sheela Raju Kurupathi; Pramod Murthy; Didier Stricker

    Generation of Human Images with Clothing using Advanced Conditional Generative Adversarial Networks, International Conference on Deep Learning Theory and Applications (DeLTA 2020)

    In: Ana Fred; Kurosh Madani (Hrsg.). Proceedings of the 1st International Conference on Deep Learning Theory and Applications DeLTA 2020. International Conference on Deep Learning Theory and Applications (DeLTA-2020), July 8-10, Pages 30-41, Vol. 1, ISBN 978-989-758-441-1, SciTePress, 2020.

  7. Sara Khan; Boris Brandherm; Anilkumar Swamy

    Electric Vehicle User Behavior Prediction Using Learning-Based Approaches

    In: 2020 IEEE Electric Power and Energy Conference (EPEC). IEEE Electric Power and Energy Conference (EPEC-2020), November 9-10, Edmonton, AB, Canada, ISBN 978-1-7281-6490-8, IEEE, 2020.

  8. Mahdi Chamseddine; Jason Raphael Rambach; Oliver Wasenmüller; Didier Stricker

    Ghost Target Detection in 3D Radar Data using Point Cloud based Deep Neural Network

    In: International Conference on Pattern Recognition. International Conference on Pattern Recognition (ICPR-2020), 25th International Conference on Pattern Recognition, January 12-15, Milan, Italy, ISBN 978-1-7281-8808-9, IEEE, 5/2021.

  9. Alexander Dettmann; Malte Langosz; Jonas Eisenmenger; Marc Otto; Sebastian Kasperski; Malte Wirkus; Nayari Lessa

    Ground Interaction Models for Increased Autonomy of Planetary Exploration Systems

    In: 13th EASN International Conference on Innovation in Aviation & Space for opening New Horizons (13th EASN 2023). EASN International Conference on Innovation in Aviation and Space for opening New Horizons, September 5-8, Salerno, Italy, Journal of Physics: Conference Series (JPCS), Vol. 2716, IOP Publishing Ltd, 3/2024.

  10. Sirko Straube; Nina Hoyer; Niels Will; Frank Kirchner

    The Challenge of Autonomy: What We Can Learn from Research on Robots Designed for Harsh Environments

    In: Uwe Engel (Hrsg.). Robots in Care and Everyday Life. Chapter 4, Pages 57-80, Springer, 10/2022.

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