1–20 von 79 Ergebnissen
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    Visual Object Detection using Convolutional Neural Networks in a Virtual Environment

    Freier Zugriff
    Norrstig, Andreas | BASE | 2019
    Schlagwörter: Convolutional Neural Networks , Deep Learning

    Vision‐based vehicle behaviour analysis: a structured learning approach via convolutional neural networks

    Freier Zugriff
    Mou, Luntian / Xie, Haitao / Mao, Shasha et al. | Wiley | 2020
    Schlagwörter: structured convolutional neural networks model , overfitting‐preventing deep neural network , convolutional neural nets

    Vision-based vehicle behaviour analysis: a structured learning approach via convolutional neural networks

    Freier Zugriff
    Mou, Luntian / Xie, Haitao / Mao, Shasha et al. | IET | 2020
    Schlagwörter: convolutional neural nets , structured convolutional neural networks model , overfitting-preventing deep neural network

    Vehicle Logo Recognition System Based on Convolutional Neural Networks With a Pretraining Strategy

    Yue Huang | Online Contents | 2015
    Schlagwörter: neural nets , convolutional neural networks , deep learning , Convolutional neural networks (CNNs)

    Vehicle Color Recognition With Spatial Pyramid Deep Learning

    Hu, Chuanping | Online Contents | 2015
    Schlagwörter: deep learning , convolutional neural network (CNN) , Neural networks

    Use of deep convolutional neural networks and change detection technology for railway track inspections

    Harrington, Ryan M / Lima, Arthur de O / Fox-Ivey, Richard et al. | SAGE Publications | 2023
    Schlagwörter: deep convolutional neural networks

    Traffic Management for Smart City Using Deep Learning

    Gupta, Puja / Singh, Upendra | Wiley | 2022
    Schlagwörter: deep learning , neural networks , convolutional neural networks

    To Perform Road Signs Recognition for Autonomous Vehicles Using Cascaded Deep Learning Pipeline

    Freier Zugriff
    Ayachi, Riadh / Said, Yahia ElFahem / Atri, Mohamed | BASE | 2019
    Schlagwörter: Deep learning , Convolutional Neural Networks CNN

    Through the Blur with Deep Learning : A Comparative Study Assessing Robustness in Visual Odometry Techniques

    Freier Zugriff
    Berglund, Alexander | BASE | 2023
    Schlagwörter: deep learning , neural networks , convolutional neural networks

    Three-stage RGBD architecture for vehicle and pedestrian detection using convolutional neural networks and stereo vision

    Freier Zugriff
    Ferraz, Pedro Augusto Pinho / de Oliveira, Bernardo Augusto Godinho / Ferreira, Flávia Magalhães Freitas et al. | IET | 2020
    Schlagwörter: neural nets , convolutional neural networks , deep learning , depth convolutional filters

    Three‐stage RGBD architecture for vehicle and pedestrian detection using convolutional neural networks and stereo vision

    Freier Zugriff
    Ferraz, Pedro Augusto Pinho / de Oliveira, Bernardo Augusto Godinho / Ferreira, Flávia Magalhães Freitas et al. | Wiley | 2020
    Schlagwörter: neural nets , depth convolutional filters , convolutional neural networks , deep learning

    Smart UAV Monitoring System for Parking Supervision

    Jausevac, Goran / Dobrilovic, Dalibor / Brtka, Vladimir et al. | Springer Verlag | 2021
    Schlagwörter: Convolutional neural networks , Deep learning , Computer Systems Organization and Communication Networks

    Single-track railway scheduling with a novel gridworld model and scalable deep reinforcement learning

    Yang, Feiyu / Yang, Yuhua / Ni, Shaoquan et al. | Elsevier | 2023
    Schlagwörter: Convolutional neural networks , Deep reinforcement learning

    Sign Language Translation System Using Convolutional Neural Networks Approach

    Kasinathan, Vinothini / Mustapha, Aida / Hew, Hui Shan et al. | Springer Verlag | 2020
    Schlagwörter: Convolutional Neural Networks , Deep learning

    Segmentation- and Annotation-Free License Plate Recognition With Deep Localization and Failure Identification

    Bulan, Orhan | Online Contents | 2017
    Schlagwörter: convolutional neural networks , deep learning

    Scale-aware limited deformable convolutional neural networks for traffic sign detection and classification

    Freier Zugriff
    Liu, Zhanwen / Shen, Chao / Fan, Xing et al. | IET | 2020
    Schlagwörter: neural nets , deformable convolutional neural networks , region-based deep convolutional neural network framework

    Road Sign Detection Using Variants of YOLO and R-CNN: An Analysis from the Perspective of Bangladesh

    Lima, Aklima Akter / Kabir, Md. Mohsin / Das, Sujoy Chandra et al. | Springer Verlag | 2021
    Schlagwörter: Region-based convolutional neural networks (R-CNN) , Deep learning

    Research on Target Detection Based on Deep Learning

    Liao, Pengjun / Xu, Jinxiang / Guo, Shangkun et al. | Springer Verlag | 2022
    Schlagwörter: Convolutional neural network , Deep learning , Communications Engineering, Networks

    Research on deep learning method for rail surface defect detection

    Freier Zugriff
    Feng, Jiang Hua / Yuan, Hao / Hu, Yun Qing et al. | IET | 2020
    Schlagwörter: complex deep convolutional networks , deep learning method , neural nets

    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)