Sökning: "road detection"

Visar resultat 1 - 5 av 138 uppsatser innehållade orden road detection.

  1. 1. Brobanor och dess egenskaper för kommande höghastighetsjärnväg : Brobanors användning och egenskaper i samband med höghastighetsjärnväg

    Kandidat-uppsats, KTH/Byggteknik och design

    Författare :Haris Zubanovic; Hajk Saakyan; [2023]
    Nyckelord :Bridge lanes; cost; high-speed railway; maintenance; precast bridge elements; Brobanor; höghastighetsjärnväg; kostnad; underhåll; prefabricerade broelement;

    Sammanfattning : SammanfattningSvensk järnväg har aldrig varit mer belastad och trafikerad än idag, och värre kommer det att bli. Det har inte pågått några större investeringar i svensk järnväg sen 1990-talet, effekterna av den strategin börjar bli alltmer uppenbar. LÄS MER

  3. 2. Data Augmentations for Improving Vision-Based Damage Detection : in Land Transport Infrastructure

    Master-uppsats, KTH/Lantmäteri – fastighetsvetenskap och geodesi

    Författare :Punnawat Siripatthiti; [2023]
    Nyckelord :Computer Vision; Data Augmentation; Object Detection; Crack Detection; Road Damage Detection; Sleeper Defect Detection; datorseende; dataökning; objektdetektering; sprickdetektering; vägbeläggning; järnvägsslipers;

    Sammanfattning : Crack, a typical term most people know, is a common form of distress or damage in road pavements and railway sleepers. It poses significant challenges to their structural integrity, safety, and longevity. Over the years, researchers have developed various data-driven technologies for image-based crack detection in road and sleeper applications. LÄS MER

  4. 3. 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

  5. 4. Automation of forest road inventory using computer vision and machine learning

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

    Författare :Jacques de Flon; [2023]
    Nyckelord :Computer vision; Machine Learning; Image recognition; forestry; road inventory; pothole; gravel road;

    Sammanfattning : There are around 300, 000 kilometer of gravel roads throughout the Swedish countryside, used every day by common people and companies. These roads face constant wear due to harsh weather as well as from heavy traffic, and thus, regular maintenance is required to keep up the road standard. LÄS MER

  7. 5. Detection of driver sleepiness during daylight and darkness

    Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

    Författare :Johanna Eklind; Amanda Meyerson; [2023]
    Nyckelord :Driver sleepiness; daylight; darkness; driving simulator study; ecg; eog; signal processing; exploratory analysis; statistical analysis; ANOVA; biomedical engineering;

    Sammanfattning : Driving sleepiness is a serious problem worldwide. It is of interest to develop reliable sleepiness detection systems to implement in vehicles, and for such a system both physi-ological data and driver performance data can be used. LÄS MER