1–15 von 15 Ergebnissen
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    Point cloud processing for environmental analysis in Autonomous Driving using Deep Learning

    Freier Zugriff
    Simon, Martin / Technische Universität Ilmenau / Universitätsverlag Ilmenau | TIBKAT | 2023
    Schlagwörter: Deep learning , Neuronales Netz , Convolutional Neural Network

    Multi-task near-field perception for autonomous driving using surround-view fisheye cameras

    Freier Zugriff
    Ravi Kumar, Varun / Technische Universität Ilmenau | TIBKAT | 2021
    Schlagwörter: Deep learning , Neuronales Netz , Convolutional Neural Network

    A Ligthweight Wayfinding Assistance System for IoT Applications

    Freier Zugriff
    Afif, Mouna / Ayachi, Riadh / Atri, Mohamed | BASE | 2021
    Schlagwörter: deep convolutional neural network

    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 , Convolutional neural networks (CNN) , Faster region-based convolutional neural network (F-RCNN)

    Autonomous Driving Through Road Segmentation Based on Computer Vision Techniques

    Jain, Aditi / Harper, Matthew / Jayabalan, Manoj et al. | Springer Verlag | 2023
    Schlagwörter: Deep convolutional neural network , Fully convolutional network

    DQN-Based Deep Reinforcement Learning for Autonomous Driving

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

    Vehicle detection systems for intelligent driving using deep convolutional neural networks

    Freier Zugriff
    Rahib Abiyev / Murat Arslan | DOAJ | 2023
    Schlagwörter: Deep learning , Convolutional neural network

    Fast Parking Slot Detection in the Bird's Eye View

    Wan, Chenglin / Wang, Weida / Yang, Chao et al. | Springer Verlag | 2023
    Schlagwörter: Deep convolutional neural network

    Recent Advances in Computer Vision Technologies for Lane Detection in Autonomous Vehicles

    Anto, Harshitha Devina / Malathi, G. / Kumar, G. Bharadwaja et al. | Springer Verlag | 2023
    Schlagwörter: Convolutional neural networks (CNN) , Recurrent neural network (RNN) , Region-based convolutional neural network (RCNN) , Deep reinforcement learning , Deep Q learning (DQLL) , Semantic segmentation network , 3D network models

    Accident Detection in Surveillance Camera

    Adil, A. P. / Anandhu, M. G. / Joy, Jeovan Elsa et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning , Convolutional neural network

    Traffic Density Classification for Multiclass Vehicles Using Customized Convolutional Neural Network for Smart City

    Mane, Deepak / Bidwe, Ranjeet / Zope, Bhusan et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning , Convolutional neural network

    Transonic Wing Buffet Load Prediction at Structural Vibration Conditions

    Zahn, R. / Völkl, V. / Zieher, M. et al. | DataCite | 2023
    Schlagwörter: Long Short-Term Memory Neural Network (LSTM) , Deep Learning , Convolutional Autoencoder (CNN-AE)

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

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

    TrafficNN: CNN-Based Road Traffic Conditions Classification

    Shipu, Monjurur Kader / Mamun, Faisal Al / Razu, Shamim Hossen et al. | Springer Verlag | 2021
    Schlagwörter: Convolutional neural network , Deep learning

    A Novel Deep ConvNets Architecture for Traffic Sign Recognition

    Khyara, Hamza / Amine, Aouatif / Nassih, Bouchra | Springer Verlag | 2022
    Schlagwörter: Deep learning , Convolutional neural network (CNN)