Sökning: "driver assistance systems"

Visar resultat 1 - 5 av 83 uppsatser innehållade orden driver assistance systems.

  1. 1. Challenges in Specifying Safety-Critical Systems with AI-Components

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Iswarya Malleswaran; Shruthi Dinakaran; [2023-09-26]
    Nyckelord :Software engineering; Requirement engineering; Specification; Safety; Computer Science; Engineering; Machine learning; Deep learning; Runtime monitor; Data Selection; Data Collection;

    Sammanfattning : Safety is an important feature in automotive industry. Safety critical system such as Advanced Driver Assistance System (ADAS) and Autonomous Driving (AD) follows certain processes and procedures in order to perform the desired function safely. LÄS MER

  3. 2. Assessing the Efficiency of COLMAP, DROID-SLAM, and NeRF-SLAM in 3D Road Scene Reconstruction

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Marcus Ascard; Farjam Movahedi; [2023]
    Nyckelord :3D reconstruction; Visual SLAM; Pose evaluation; Point cloud evaluation; Road scenes; Technology and Engineering;

    Sammanfattning : 3D reconstruction is a field in computer vision which has evolved rapidly as a result of the recent advancements in deep learning. As 3D reconstruction pipelines now can run in real-time, this has opened up new possibilities for teams developing Advanced Driver Assistance Systems (ADAS), which rely on the camera system of the vehicle to enhance the safety and driving experience. LÄS MER

  4. 3. Design and implementation of an affordable reversing camera system with object detection and OBD-2 integration for commercial vehicles

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Alireza Ebrahimi; Esmatullah Akbari; [2023]
    Nyckelord :Reversing camera system; object detection; OBD-2-integration; ultrasonic sensors; accident risk; driver assistance.; Backkamerasystem; objektdetektering; OBD-2-integration; ultraljudssensorer; olycksrisk; förarassistans.;

    Sammanfattning : This thesis is about designing and implementing an affordable reversing camera sys-tem with object detection and OBD-2 integration for commercial vehicles. The aim is to improve the safety and efficiency of these vehicles by giving drivers a clear view of their surroundings behind the vehicle and alerting them to the presence of nearby obstacles. LÄS MER

  5. 4. 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

  7. 5. Map Based Sensor Fusion for Lane Boundary Estimation on ADAS

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

    Författare :Puya Faghi; [2023]
    Nyckelord :Lane estimation; Lane detection; Map-matching; Sensor fusion; Smart camera; Vehicle Radar; Intelligent vehicle systems; Körfältsestimering; Körfältsdetektering; Kartmatchning; Sensorfusion; Smart Kamera; Radar system; Fordonsradar; Intelligenta fordonssystem;

    Sammanfattning : A vehicles ability to detect and estimate its surroundings is important for ensuring the safety of the vehicle and passengers regardless of the level of vehicle autonomy. With an improved road and lane estimation, advanced driver-assistance systems will be able to provide earlier and more accurate warnings and actions to prevent a possible accident. LÄS MER