Sökning: "Scania machine learning"

Visar resultat 1 - 5 av 37 uppsatser innehållade orden Scania machine learning.

  1. 1. A requirements engineering approach in the development of an AI-based classification system for road markings in autonomous driving : a case study

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Författare :Srija Sunkara; [2023]
    Nyckelord :Requirements Engineering; Machine Learning; Goal-Oriented Requirements Engineering; Autonomous Driving; Point Cloud Classification;

    Sammanfattning : Background: Requirements engineering (RE) is the process of identifying, defining, documenting, and validating requirements. However, RE approaches are usually not applied to AI-based systems due to their ambiguity and is still a growing subject. LÄS MER

  3. 2. Neural Networks for Predictive Maintenance on Highly Imbalanced Industrial Data

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Oscar Montilla Tabares; [2023]
    Nyckelord :Class Imbalance; Cost Sensitivity; Cost-Sensitive Learning; Focal Loss; Binary Classification; Machine Learning; Deep Learning;

    Sammanfattning : Preventive maintenance plays a vital role in optimizing industrial operations. However, detecting equipment needing such maintenance using available data can be particularly challenging due to the class imbalance prevalent in real-world applications. LÄS MER

  4. 3. Improving Image Classification using Domain Adaptation for Autonomous Driving : A Master Thesis in Collaboration with Scania

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

    Författare :Mikael Westlund; [2023]
    Nyckelord :Autonomous driving; Deep Learning; Domain Adaptation; Image classification; LiDAR; Transfer Learning; Självkörande fordon; Djupinlärning; Domain Adaptation; Bildklassificering; LiDAR; Överföringsinlärning;

    Sammanfattning : Autonomous driving is a rapidly changing industry and has recently become a heavily focused research topic for vehicle producing companies and research organizations. These autonomous vehicles are typically equipped with sensors such as Light Detection and Radar (LiDAR) in order to perceive their surroundings. LÄS MER

  5. 4. Machine Vision for Quality Inspection of Rear Axle Bridges

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Rickard Frykgård; [2022]
    Nyckelord :Machine vision; Machine learning; Quality inspection; Rear axle bridges; Amazon Rekognition; MVTec Halcon; Dot peen markings;

    Sammanfattning : Dot peen markings are used by Scania Ferruform to maintain a traceability of their products throughout the manufacturing. Quality inspection of the markings are performed to ensure that they are added correctly and readable. This is, however, done manually by workers, which they are looking to change. LÄS MER

  7. 5. Spatio-temporal modelling and mapping of network coverage for connected vehicles

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Deepthi Pathare; [2022]
    Nyckelord :;

    Sammanfattning : Digital connectivity plays a major role in enabling sustainable transport solutions. A key ingredient that ensures this connectivity is the cellular network coverage, whose information is typically available from the service providers. LÄS MER