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    3D vehicle sensor based on monocular vision

    Ponsa, D. / Lopez, A. / Lumbreras, F. et al. | Tema Archiv | 2005
    Schlagwörter: maschinelles Sehen , Lernen

    A comprehensive review of trip generation models based on land use characteristics

    Mukherjee, Jaideep / Raghuram Kadali, B. | Elsevier | 2022
    Schlagwörter: Machine learning approaches

    Acoustic Monitoring of Rail Faults in the German Railway Network

    Pieringer, Astrid / Stangl, Matthias / Rothhämel, Jörg et al. | Springer Verlag | 2021
    Schlagwörter: Machine learning

    Acoustic sleepiness analysis - using speech input from driver assistance systems for the phonetic detection of critical driver states

    Krajewski, J. / Sommer, D. / Schupp, T. et al. | Tema Archiv | 2009
    Schlagwörter: maschinelles Lernen

    A critical review on the state-of-the-art and future prospects of machine learning for Earth observation operations

    Miralles, Pablo / Thangavel, Kathiravan / Fulvio Scannapieco, Antonio et al. | Elsevier | 2023
    Schlagwörter: Machine Learning , Deep Learning , Reinforcement Learning , Learning Vector Quantization , DEpendable and Expandable Learning , Deep Reinforcement Learning

    Adaptive navigation of automated vehicles by image analysis techniques

    Tsai, W. / Chen, Y. | Tema Archiv | 1986
    Schlagwörter: MASCHINELLES SEHEN , PATH NETWORK LEARNING

    Adaptive Real-Time Clustering Method for Dynamic Visual Tracking of Very Flexible Wings

    Mkhoyan, Tigran / de Visser, Coen C. / De Breuker, Roeland | AIAA | 2021
    Schlagwörter: Machine Learning

    A data-driven dynamics simulation framework for railway vehicles

    Nie, Yinyu / Tang, Zhao / Liu, Fengjia et al. | Taylor & Francis Verlag | 2018
    Schlagwörter: machine learning

    Adhering to Terrain Characteristics for Position Estimation of Mobile Robots

    Brunner, Michael / Schulz, Dirk / Cremers, Armin B. | Springer Verlag | 2011
    Schlagwörter: Machine learning

    Advanced driver assistance system supporting routing and navigation for fully electric vehicles

    Demestichas, K. / Adamopoulou, E. / Masikos, M. et al. | Tema Archiv | 2012
    Schlagwörter: maschinelles Lernen

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