Essays about: "Road Segmentation"

Showing result 1 - 5 of 38 essays containing the words Road Segmentation.

  1. 1. Network Orientation and Segmentation Refinement Using Machine Learning

    University essay from Linköpings universitet/Institutionen för medicinsk teknik

    Author : Michael Nilsson; Jonatan Kentson; [2023]
    Keywords : deep learning; semantic segmentation; orientation learning; road networks; retina networks;

    Abstract : Network mapping is used to extract the coordinates of a network's components in an image. Furthermore, machine learning algorithms have demonstrated their efficacy in advancing the field of network mapping across various domains, including mapping of road networks and blood vessel networks. READ MORE

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

    University essay from KTH/Lantmäteri – fastighetsvetenskap och geodesi

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

    Abstract : 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. READ MORE

  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

    University essay from Jönköping University/Jönköping AI Lab (JAIL)

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

    Abstract : 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. READ MORE

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

    University essay from Umeå universitet/Institutionen för fysik

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

    Abstract : 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. READ MORE

  6. 5. The Green Road to Luxury : Insights into the Perceptions of Sustainability in the Minds of Luxury Car Consumers

    University essay from Linköpings universitet/Institutionen för ekonomisk och industriell utveckling; Linköpings universitet/Filosofiska fakulteten

    Author : Valeriia Lastovetskaia; João Pedro Alexandre Versteegen; [2023]
    Keywords : Luxury marketing; consumer behavior; decision-making; new luxury perception; automotive luxury;

    Abstract : Background The alarming speed of environmental degradation is enhancing the need to shift current production and consumption habits towards more sustainable ones. Luxury producers face the necessity to act following their responsibilities to stimulate sustainable sourcing, manufacturing, and marketing. READ MORE