Sökning: "stereo images"

Visar resultat 1 - 5 av 59 uppsatser innehållade orden stereo images.

  1. 1. 3D Reconstruction from Satellite Imagery Using Deep Learning

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Tim Yngesjö; [2021]
    Nyckelord :3D reconstruction; Deep learning;

    Sammanfattning : Learning-based multi-view stereo (MVS) has shown promising results in the domain of general 3D reconstruction. However, no work before this thesis has applied learning-based MVS to urban 3D reconstruction from satellite images. In this thesis, learning-based MVS is used to infer depth maps from satellite images. LÄS MER

  2. 2. Deep Reinforcement Learning for Complete Coverage Path Planning in Unknown Environments

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

    Författare :Omar Boufous; [2020]
    Nyckelord :;

    Sammanfattning : Mobile robots must operate autonomously, often in unknown and unstructured environments. To achieve this objective, a robot must be able to correctly per- ceive its environment, plan its path, and move around safely, without human su- pervision. Navigation from an initial position to a target location has been a chal- lenging problem in robotics. LÄS MER

  3. 3. Collision Avoidance for a Fence Inspecting Drone Operating at an Airport

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

    Författare :Fanny Radesjö; [2020]
    Nyckelord :;

    Sammanfattning : Many important facilities are surrounded by security fences that need to be regularly inspected for damage. To automate this task it has been proposed to use a drone equipped with a camera. LÄS MER

  4. 4. Evaluation and Analysis of Perception Systems for Autonomous Driving

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

    Författare :Devendra Sharma; [2020]
    Nyckelord :Object detection; CARLA; evaluation; simulator; autonomous vehicles; KITTI; LiDAR; stereo camera; Objektdetektering; CARLA; utvärdering; simulator; autonoma fordon; KITTI; LiDAR; stereokamera;

    Sammanfattning : For safe mobility, an autonomous vehicle must perceive the surroundings accurately. There are many perception tasks associated with understanding the local environment such as object detection, localization, and lane analysis. LÄS MER

  5. 5. Depth Estimation from Images using Dense Camera-Lidar Correspondences and Deep Learning

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

    Författare :Ajinkya Khoche; [2020]
    Nyckelord :;

    Sammanfattning : Depth estimation from 2D images is a fundamental problem in Computer Vision, and is increasingly becoming an important topic for Autonomous Driving. A lot of research is driven by innovations in Convolutional Neural Networks, which efficiently encode low as well as high level image features and are able to fuse them to find accurate pixel correspondences and learn the scale of the objects. LÄS MER