1–20 von 689 Ergebnissen
|

    Survey on Traffic Sign Recognition Using Computer Vision Technologies

    Nandhakumar, C. / A, Rajashiva / B, Srinithi et al. | IEEE | 2024
    recognizing traffic signs that Integrates deep Iearning techniques with image processing techniques. Based on deep learning, the Convolution Neural ...

    A Robust Road Lane Detection Using Computer Vision Approach for Autonomous Vehicles

    Bhavadharini, R.M. / Sutha, J. | IEEE | 2024
    (ROI) and astute edge detection. This research work aims to use computer vision techniques for the detection of road lane lines. It utilizes ...

    Helmet Detection in 2-Wheeler

    D, Bhavanash Rai | SAE Technical Papers | 2024
    innovative methods that automatically monitor and prevent unsafe driving. To address this issue, we have developed a computer vision-based helmet ...
    Schlagwörter: Imaging and visualization

    Enhancing Cargo Transportation Using Intelligent Systems for Better Logistic Management

    Jagtap, Pramod Prakash / Mahali, Rakesh / Kale, Shreeja | SAE Technical Papers | 2024
    developing a system that combines computer vision algorithms and intelligent systems to detect and implement a combination of features for efficient ...
    Schlagwörter: People and personalities , Imaging and visualization , Research and development

    Intelligent traffic control system using computer vision algorithms

    Anwar, Syed Asim / Zohura, Fatima Tuz / Paul, Joy | SPIE | 2023
    by measuring the traffic density of the road by real time detection and image processing. The vehicle detection system counts the number of ...

    Automated Driver Drowsiness Detection System using Computer Vision and Machine Learning

    Srilakshmi, T. / Reddy, Harshavardhan / Potluri, Yaswanthi et al. | IEEE | 2023
    of technologies have been created to detect drowsy driving; however, computer vision and image processing technology can efficiently detect ...

    Hierarchical Pretrained Backbone Vision Transformer for Image Classification in Histopathology

    Zedda, Luca / Loddo, Andrea / Di Ruberto, Cecilia | British Library Conference Proceedings | 2023

    Self-supervised Distillation for Computer Vision Onboard Planetary Robots

    Goh, Edwin / Ward, Isaac R. / Vincent, Grace et al. | IEEE | 2023
    . Deep learning has demonstrated strong performance on a variety of computer vision and image processing tasks, and has become the main approach ...

    Image processing methods to increase the distinguishability of objects

    Galtsev, I. I. / Elizarov, A. I. / Shaleev, A. V. | SPIE | 2023
    computer vision and the development of image analysis systems is preprocessing. At this initial stage, it is necessary to use various techniques to ...

    Optical image processing of 2-D and 3-D objects using digital holography

    Smith, Eric / Banerjee, Partha | SPIE | 2023
    Traditional computer vision (CV) approaches are the norm when attempting to extract edge information from an imaged object. These discrete ...

    Object Detection Using Vision Transformed EfficientDet

    Kar, Shreyanil / El-Sharkawv, Mohamed | IEEE | 2023
    Computer vision, a subdivision of computer science and artificial intelligence focuses on enabling computers to interpret and analyze ...

    Multi-focus image registration algorithm based on image preprocessing and improved SIFT

    Lin, Ke / Pan, Wei | SPIE | 2023
    Image registration is an important technology in the image processing, which is widely used in computer vision, image fusion, image ...

    A UAV detection framework based on dual stereo vision system for low-altitude urban background

    Zhu, Renwei / Chen, Jun / Yang, Zhao et al. | SPIE | 2023
    background suppression of the low-altitude urban background UAV image and drone target extraction. An improved image processing method is used to ...

    Research and implementation of method for identifying body conflict behaviors of drivers and passgeners

    Shen, Qing / Wu, Zhongcheng | IEEE | 2023
    In order to enhance the safety of passengers and lessen the impact of physical dispute on people safety, this article proposes an efficient ...

    Track Predition Based on CNN-GRU Neural Network

    Ju, Cong / Fu, Yuhui / Li, Chenghao | IEEE | 2023
    , and provides ship's characteristics for ship's track predition, that is of great significance to avoid water traffic accidents ...

    Study on Lane-Changing Model Based on Unmanned

    Yuan, Chao / An, Xicai / Wang, Jiyue | IEEE | 2023
    Lane-changing is a very common behavior in automatic driving, which seriously affects the safety of driving. Therefore, fast and safe lane ...

    Faster R-CNN-based pedestrian detection and tracking

    Wang, Linke | SPIE | 2023
    Pedestrian detection and tracking is an important research area in the field of computer vision. It has extensive application in many areas ...

    VDD4TS: A Vehicle Detection Dataset for Traffic Survey of Road

    Lu, Xu / Wang, Linfei / Qi, Chongchong et al. | IEEE | 2023
    While object detection has achieved remarkable success in tasks such as autonomous driving and intelligent transportation, there is still a ...

    Traffic Flow Optimizer: Traffic Signal Control With Vehicle Density and Algorithms

    Vayadande, Kuldeep / Wakodikar, Nidhish / Oswal, Kriya et al. | IEEE | 2023
    system uses image processing methods, specifically vehicle detection algorithms. The computer vision library is used to evaluate surveillance ...

    Automatic Vehicle Classification and Speed Tracking

    Mostafa, Mahin / Sadi, Sami / Anamika, Sadiya Afrose et al. | IEEE | 2023
    avoid unnecessary delays and accidents. In this research study, computer vision-based speed estimation and object detection have been ...