Sökning: "Surface segmentation"
Visar resultat 1 - 5 av 36 uppsatser innehållade orden Surface segmentation.
1. EXTRACTING REGIONS OF INTEREST AND DETECTING OUTLIERS FROM IMAGE DATA
Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : Volvo Construction Equipment (CE) are facing the challenge of vibrations in their wheel loaders that generate disruptive noise and impact the driver's experience. These vibrations have been linked to the contact surface between the crown wheel and pinion gear in the vehicles drive-axles. LÄS MER
2. Data Augmentations for Improving Vision-Based Damage Detection : in Land Transport Infrastructure
Master-uppsats, KTH/Lantmäteri – fastighetsvetenskap och geodesiSammanfattning : 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
3. Machinability study on GCI brake discs - Effects of material variations and process behavior on tool life
Uppsats för yrkesexamina på grundnivå, Lunds universitet/Industriell ProduktionSammanfattning : Grey cast iron is one of the most used materials in the automotive industry. The material has a range of properties that makes it suitable for machining applications, but manufacturers still experience machinability problems. LÄS MER
4. Skyline Delineation for Localization in Occluded Environments : Improved Skyline Delineation using Environmental Context from Deep Learning-based Semantic Segmentation
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis addresses the problem of improving the delineation of skylines, also referred to as skyline detection, in occluded and challenging environments where existing skyline delineation methods may struggle or fail. Delineated skylines can be used in monocular camera localization methods by comparing delineated skylines to digital elevation model data to estimate a position based on known terrain. LÄS MER
5. SENSOR FUSION FOR AUTONOMOUS NAVIGATION
Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : This report describes the progress made in designing and constructing an unmanned surface vehicle. The focus is on the development of the vessel's perception system, which includes three LiDAR sensors and a camera. LÄS MER