Sökning: "autonomous driving"

Visar resultat 21 - 25 av 447 uppsatser innehållade orden autonomous driving.

  1. 21. Visual Bird's-Eye View Object Detection for Autonomous Driving

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Erik Lidman; [2023]
    Nyckelord :computer vision; machine learning; neural networks; deep learning; autonomous driving; autonomous systems; datorseende; maskininlärning; neuronnät; djupinlärning; autonom körning; autonoma system;

    Sammanfattning : In the field of autonomous driving a common scenario is to apply deep learningmodels on camera feeds to provide information about the surroundings. A recenttrend is for such vision-based methods to be centralized, in that they fuse imagesfrom all cameras in one big model for a single comprehensive output. LÄS MER

  3. 22. Implementation and Evaluation of an Electronic Control Unit for an Automotive Testbed

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

    Författare :Oscar Ceder; Talia Onen Corsi; [2023]
    Nyckelord :;

    Sammanfattning : Modern vehicles rely on heavily electronically implemented functionalities. Withexpanding electrification in the automotive industry, as well as the advent of autonomous vehicles,the amount of implemented functionalities are increasing. This has resulted in a shift towardscentralized electronic architecture in automotive design. LÄS MER

  4. 23. Comparison and performance analysis of deep learning techniques for pedestrian detection in self-driving vehicles

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Raahitya Botta; Aditya Aditya; [2023]
    Nyckelord :Artificial Intelligence AI ; Dataset; Deep learning; Object detection; Pedestrian detection; Performance analysis; Self-driving vehicles.;

    Sammanfattning : Background: Self-driving cars, also known as automated cars are a form of vehicle that can move without a driver or human involvement to control it. They employ numerous pieces of equipment to forecast the car’s navigation, and the car’s path is determined depending on the output of these devices. LÄS MER

  5. 24. Automated annotation scheme for extending bounding box representation to detect ship locations.

    Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Oksana Havryliuk; [2023]
    Nyckelord :;

    Sammanfattning : Bounding boxes often provide limited information about the shape and location of an object on an image. Their limitations lie in their reduced ability to correctly represent objects that have complex shapes or are located at an angle. LÄS MER

  7. 25. Hybrid Deep Learning approach for Lane Detection : Combining convolutional and transformer networks with a post-processing temporal information mechanism, for efficient road lane detection on a road image scene

    Master-uppsats, Jönköping University/Jönköping AI Lab (JAIL)

    Författare :Dimitrios Zarogiannis; Stelio Bompai; [2023]
    Nyckelord :Lane Detection; CNN; Vision Transformer; Deep Learning; Semantic Segmentation; Computer Vision;

    Sammanfattning : Lane detection is a crucial task in the field of autonomous driving and advanced driver assistance systems. In recent years, convolutional neural networks (CNNs) have been the primary approach for solving this problem. LÄS MER