Sökning: "Traffic sign recognition"

Visar resultat 1 - 5 av 17 uppsatser innehållade orden Traffic sign recognition.

  1. 1. Generation of Synthetic Traffic Sign Images using Diffusion Models

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Johanna Carlson; Lovisa Byman; [2023]
    Nyckelord :Machine Learning; Computer Vision; Diffusion Models; Traffic Sign Recognition; Traffic Sign Classification; Synthetic Data; Maskininlärning; Datorseende; Diffusionsmodeller; Trafikskyltsigenkänning; Trafikskyltsklassificering; Syntetisk data;

    Sammanfattning : In the area of Traffic Sign Recognition (TSR), deep learning models are trained to detect and classify images of traffic signs. The amount of data available to train these models is often limited, and collecting more data is time-consuming and expensive. LÄS MER

  3. 2. Objektdetektering av trafikskyltar på inbyggda system med djupinlärning

    Kandidat-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Författare :Pontus Wikström; Johan Hotakainen; [2023]
    Nyckelord :Deep learning; Edge device; Machine learning; Nvidia Jetson Nano; Objectdetection; Raspberry Pi 3; Traffic sign recognition; Djupinlärning; Inbyggda system; Maskininlärning; Nvidia Jetson Nano; Objektdetektering; Raspberry Pi 3; Trafikskyltsigenkänning;

    Sammanfattning : In recent years, AI has developed significantly and become more popular than ever before. The applications of AI are expanding, making knowledge about its application and the systems it can be applied to more important. LÄS MER

  4. 3. Traffic Sign Recognition

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för matematik och naturvetenskap

    Författare :srikanthreddy chiluka; [2021]
    Nyckelord :;

    Sammanfattning : Smart vehicles with capabilities of autonomous driving are a big revolution in automobile industry. The vehicles can sense their environment and react based on it. It replaces the manual driver. Recognition of traffic sign is an important enabler for autonomous driving. LÄS MER

  5. 4. A Deep Learning Application for Traffic Sign Recognition

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Pramod Sai Kondamari; Anudeep Itha; [2021]
    Nyckelord :Image Processing; Deep Learning Algorithms; Convolutional Neural Network CNN ; OpenCV; Supervised Learning.;

    Sammanfattning : Background: Traffic Sign Recognition (TSR) is particularly useful for novice driversand self-driving cars. Driver Assistance Systems(DAS) involves automatic trafficsign recognition. Efficient classification of the traffic signs is required in DAS andunmanned vehicles for safe navigation. LÄS MER

  7. 5. Traffic Sign Recognition Using Machine Learning

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Sharif Sharif; Joanna Lilja; [2020]
    Nyckelord :Traffic sign detection; Machine Learning; Image Recognition; Object Identification; Igenkänning av trafikskyltar; Maskininlärning; Bildigenkänning; Objektidentifikation;

    Sammanfattning : Computer vision is an area in computer science that attempts to give computers the ability to see and recognise objects using varying sources of input, such as video or pictures. This problem is usually solved by using artificial intelligence (AI) techniques. The most common being deep learning. LÄS MER