Sökning: "monocular camera"

Visar resultat 1 - 5 av 11 avhandlingar innehållade orden monocular camera.

  1. 1. Fusing Visual and Inertial Information

    Författare :Dave Zachariah; Magnus Jansson; Patric Jensfelt; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; sensor fusion; inertial measurement unit; monocular camera; inertial navigation; Electrical engineering; electronics and photonics; Elektroteknik; elektronik och fotonik;

    Sammanfattning : .... LÄS MER

  2. 2. Computer Vision for Automated Traffic Safety Assessment : A Machine Learning Approach

    Författare :Martin Ahrnbom; Mathematical Imaging Group; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer vision; Deep learning; Machine learning; Traffic Surveillance; Traffic Safety; Object detection; Camera Calibration; Multi-Target Tracking; Convolutional Neural Networks; Smart cities;

    Sammanfattning : Traffic safety is a complex and important research area with the potential to save many lives in the future. Two key problems are considered, namely the gathering of reliable and detailed road user statistics which can be used to estimate the safety of a traffic environment and taking advantage of surveillance infrastructure to guide and assist vehicles in real time, primarily autonomous ones. LÄS MER

  3. 3. Towards Robust Visual Localization in Challenging Conditions

    Författare :Carl Toft; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; autonomous vehicles; self-driving cars; camera pose estimation; long-term localization; Visual localization; benchmark;

    Sammanfattning : Visual localization is a fundamental problem in computer vision, with a multitude of applications in robotics, augmented reality and structure-from-motion. The basic problem is to, based on one or more images, figure out the position and orientation of the camera which captured these images relative to some model of the environment. LÄS MER

  4. 4. Applications in Monocular Computer Vision using Geometry and Learning : Map Merging, 3D Reconstruction and Detection of Geometric Primitives

    Författare :David Gillsjö; Matematik LTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Scene Completion; Deep Learning; Bayesian Neural Network; Room Layout Estimation; Line Segment Detection; Polygon Detection; Graph Neural Network; Map Merging; Structure from Motion; Minimal Solvers; Wireframe Estimation;

    Sammanfattning : As the dream of autonomous vehicles moving around in our world comes closer, the problem of robust localization and mapping is essential to solve. In this inherently structured and geometric problem we also want the agents to learn from experience in a data driven fashion. LÄS MER

  5. 5. Visual Inertial Navigation and Calibration

    Författare :Martin A. Skoglund; Fredrik Gustafsson; Thomas Schön; Henk Luinge; Linköpings universitet; []
    Nyckelord :TECHNOLOGY; TEKNIKVETENSKAP;

    Sammanfattning : Processing and interpretation of visual content is essential to many systems and applications. This requires knowledge of how the content is sensed and also what is sensed. Such knowledge is captured in models which, depending on the application, can be very advanced or simple. LÄS MER