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    Collision Avoidance Approach Using Deep Reinforcement Learning

    Barton J Bacon | NTRS
    Schlagwörter: Deep Reinforcement Learning

    Collision Avoidance Approach Using Deep Reinforcement Learning

    Barton Bacon | NTRS
    Schlagwörter: Deep Reinforcement Learning

    DCOP: Deep Learning for Road Safety System

    Hyoju, Binod / Salahuddin, A. B. Emran / Heyasat, Haneen et al. | Springer Verlag | 2023
    Schlagwörter: Deep Learning , Machine Learning

    Deep learning and big data for intelligent transportation : enabling technologies and future trends

    Ahmed, Khaled R. / Hassanien, Aboul Ella | TIBKAT | 2021
    Schlagwörter: Deep learning

    Deep Learning Approach to Detection of Preceding Vehicle in Advanced Driver Assistance

    Forczmański, Paweł / Nowosielski, Adam | Springer Verlag | 2016
    Schlagwörter: Deep learning

    Deep learning for autonomous vehicle control : algorithms, state-of-the-art, and future prospects

    Kuutti, Sampo / Fallah, Saber / Bowden, Richard et al. | TIBKAT | 2019
    Schlagwörter: Deep learning

    Deep learning methods for automotive radar signal processing

    Pérez González, Rodrigo / Technische Universität München / Eric Cuvillier, Firma | TIBKAT | 2021
    Schlagwörter: Deep learning

      Deep learning methods for automotive radar signal processing

      Pérez González, Rodrigo / Technische Universität München / Eric Cuvillier, Firma | GWLB - Gottfried Wilhelm Leibniz Bibliothek | 2021
      Schlagwörter: Deep learning

    Deep Learning Technologies to Mitigate Deer-Vehicle Collisions

    Jawad Siddique, Md. / Ahmed, Khaled R. | Springer Verlag | 2021
    Schlagwörter: Deep learning

    Deep Neural Network-Based Prediction of High-Speed Train-Induced Subway Track Vibration

    Wieczorek, Michał / Siłka, Jakub / Woźniak, Marcin | Springer Verlag | 2021
    Schlagwörter: Deep learning , Machine learning

    Deep Reinforcement Learning-Based LSTM Model for Traffic Flow Forecasting in Internet of Vehicles

    Chen, Zekuan / Luo, Xiong / Wang, Ting et al. | Springer Verlag | 2021
    Schlagwörter: Deep reinforcement learning (DRL)

    DQN-Based Deep Reinforcement Learning for Autonomous Driving

    Pérez-Gil, Óscar / Barea, Rafael / López-Guillén, Elena et al. | Springer Verlag | 2020
    Schlagwörter: Reinforcement learning , Deep q-network agent

    Driver Drowsiness Detection Using CNN and ESP32 CAM

    Bhanuse, Vijaykumar / Ratnaparkhi, Soham / Loya, Riya et al. | Springer Verlag | 2024
    Schlagwörter: Deep learning

    Drowsy Driving Detection Based on Deep Neural Network for Accident Avoidance

    Bandopadhyay, Srijita / Ray, IshanJyoti / Mondal, Shalini et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning

    Earth Science Deep Learning: Applications and Lessons Learned

    Maskey, Manil / Ramachandran, Rahul / Miller, J. J. et al. | NTRS | 2018
    Schlagwörter: Deep Learning , Supervised Learning

    Enhanced End-to-End System for Autonomous Driving Using Deep Convolutional Networks

    Muthazhagan, Balaji / Sundaramoorthy, Suriya | Springer Verlag | 2021
    Schlagwörter: End-to-End deep learning

    Explainable AI in ITS: Ethical Concerns

    Gaur, Loveleen / Sahoo, Biswa Mohan | Springer Verlag | 2022
    Schlagwörter: Deep learning , Machine learning

    Exploring Deep Learning in Road Traffic Accident Recognition for Roadside Sensing Technologies

    Fu, Swee Tee / Lau, Bee Theng / Tee, Mark Kit Tsun et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning , Machine learning

    Factors Influencing Driver Behavior and Advances in Monitoring Methods

    Ansari, Shahzeb / Du, Haiping / Naghdy, Fazel et al. | Springer Verlag | 2022
    Schlagwörter: Unsupervised deep learning

    Fine-Grained Vehicle Classification in Urban Traffic Scenes Using Deep Learning

    Najeeb, Syeda Aneeba / Raza, Rana Hammad / Yusuf, Adeel et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning , Transfer learning , Deep neural networks