Sökning: "Stereo camera"

Visar resultat 6 - 10 av 78 uppsatser innehållade orden Stereo camera.

  1. 6. A heuristic approach to screw pose detection

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

    Författare :Emil Ransed; [2022]
    Nyckelord :;

    Sammanfattning : Object detection using vision systems could generally be accomplished using machine learning or conventional computer vision techniques. This thesis implements and compares three methods to locate screws on a flat plane using conventional computer vision on regular non stereo images without any depth or range information. LÄS MER

  3. 7. Ground surface classification by stereo polarised image sensors

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

    Författare :Eisenmenger Jan Jürgen; [2021-04-21]
    Nyckelord :Computer Science; Polarization; Image processing; Water Detection; Project; Thesis;

    Sammanfattning : or an autonomous vehicle. By introducing polarized imaging, advances in water hazard detection have been made in recent years. However, most approaches utilize retrofitted polarized cameras for use in an off-road environment. LÄS MER

  4. 8. Unsupervised Learning for Structure from Motion

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Erik Örjehag; [2021]
    Nyckelord :sfm; structure from motion; depth; ego-motion; unsupervised learning; consensus maximization;

    Sammanfattning : Perception of depth, ego-motion and robust keypoints is critical for SLAM andstructure from motion applications. Neural networks have achieved great perfor-mance in perception tasks in recent years. But collecting labeled data for super-vised training is labor intensive and costly. LÄS MER

  5. 9. Localization and mapping with heterogeneous sensors : Map fusion with stereo camera and Lidar

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

    Författare :Adam Miksits; [2021]
    Nyckelord :;

    Sammanfattning : Heterogeneous multi-robot Simultaneous Localization and Mapping (SLAM) is the problem of building a map and localizing in it with multiple agents using different kinds of sensors, such as Lidars (light detection and ranging) and stereo cameras. While many solutions exist for both associating information from sensors of different kinds, and for creating a map with multiple sensors of the same type (homogeneous sensors), research in the combined topic is still at an early stage. LÄS MER

  7. 10. Single image scene-depth estimation based on self-supervised deep learning : For perception in autonomous heavy duty vehicles

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för visuell information och interaktion

    Författare :Yegor Piven; [2021]
    Nyckelord :computer vision; machine learning; deep learning; depth estimation; single image depth estimation;

    Sammanfattning : Depth information is a vital component for perception of the 3D structure of vehicle's surroundings in the autonomous scenario. Ubiquity and relatively low cost of camera equipment make image-based depth estimation very attractive compared to employment of the specialised sensors. LÄS MER