1–7 von 7 Ergebnissen
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    Deep reinforcement learning based conflict detection and resolution in air traffic control

    Freier Zugriff
    Wang, Zhuang / Li, Hui / Wang, Junfeng et al. | IET | 2019
    utilised. The simulation results show the feasibility of DRL applied in CD&R and there is an obvious advantage in computational efficiency. ...
    Schlagwörter: learning (artificial intelligence)

    Towards affect-aware vehicles for increasing safety and comfort: recognising driver emotions from audio recordings in a realistic driving study

    Freier Zugriff
    Requardt, Alicia F. / Ihme, Klas / Wilbrink, Marc et al. | IET | 2020

    For vehicle safety, the in-time monitoring of the driver and assessing his/her state is a demanding issue. Frustration can lead to

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    Schlagwörter: driver in-time monitoring , learning (artificial intelligence) , in-car assistance

    Emotional temporal difference Q-learning signals in multi-agent system cooperation: real case studies

    Freier Zugriff
    Abdi, Javad / Moshiri, Behzad / Abdulhai, Baher | IET | 2013

    Chaotic non-linear dynamics approach is now the most powerful tool for scientists to deal with complexities in real cases; and

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    Schlagwörter: learning (artificial intelligence) , computational complexity

    Learning-based method for lane detection using regionlet representation

    Freier Zugriff
    Chen, Yuxuan / Chen, Wei-Gang / Wang, Xun et al. | IET | 2019
    several image blocks, each of which contains lane marking in the centre. This study proposes a learning-based method for lane localisation via ...
    Schlagwörter: learning (artificial intelligence)

    Deep learning-based embedded license plate localisation system

    Freier Zugriff
    Yépez, Juan / Castro-Zunti, Riel D. / Ko, Seok-Bum | IET | 2019

    In this study the authors propose novel neural network architecture for license plate localisation (LPL) based on an inverted residual

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    Schlagwörter: learning (artificial intelligence)

    Multi-receptive field graph convolutional neural networks for pedestrian detection

    Freier Zugriff
    Shen, Chao / Zhao, Xiangmo / Fan, Xing et al. | IET | 2019
    limitations when applied to pedestrian detection task. In this article, the authors mainly consider the following three problems. (i) most deep ...
    Schlagwörter: learning (artificial intelligence)

    Gated branch neural network for mandatory lane changing suggestion at the on-ramps of highway

    Freier Zugriff
    Dou, Yangliu / Fang, Yihao / Hu, Chuan et al. | IET | 2018
    between computational speed and prediction accuracy for both non-merge and merge events. The GBNN algorithm employs a gated branch based on ...
    Schlagwörter: learning (artificial intelligence)