Sökning: "Naturvetenskap Data- och informationsvetenskap Datorseende och robotik autonoma system"

Visar resultat 1 - 5 av 6 avhandlingar innehållade orden Naturvetenskap Data- och informationsvetenskap Datorseende och robotik autonoma system.

  1. 1. Learning visual perception for autonomous systems

    Författare :Gustav Häger; Michael Felsberg; Per-Erik Forssén; Fahad Shahbaz Khan; Roman Pflugfelder; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; computer vision; visual object tracking; tracking; machine learning; deep learning;

    Sammanfattning : In the last decade, developments in hardware, sensors and software have made it possible to create increasingly autonomous systems. These systems can be as simple as limited driver assistance software lane-following in cars, or limited collision warning systems for otherwise manually piloted drones. LÄS MER

  3. 2. Continuous Models for Cameras and Inertial Sensors

    Författare :Hannes Ovrén; Per-Erik Forssen; Klas Nordberg; David Törnqvist; Frank Dellaert; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : Using images to reconstruct the world in three dimensions is a classical computer vision task. Some examples of applications where this is useful are autonomous mapping and navigation, urban planning, and special effects in movies. LÄS MER

  4. 3. Unsupervised construction of 4D semantic maps in a long-term autonomy scenario

    Författare :Rares Ambrus; Patric Jensfelt; John Folkesson; Andreas Nüchter; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Mobile robotics; autonomous systems; perception; computer vision; RGB-D object segmentation; modelling and recognition; semantic segmentation; long-term autonomy; mapping; temporal modeling; Computer Science; Datalogi;

    Sammanfattning : Robots are operating for longer times and collecting much more data than just a few years ago. In this setting we are interested in exploring ways of modeling the environment, segmenting out areas of interest and keeping track of the segmentations over time, with the purpose of building 4D models (i.e. LÄS MER

  5. 4. Embedded high-resolution stereo-vision of high frame-rate and low latency through FPGA-acceleration

    Författare :Carl Ahlberg; Mikael Ekström; Ignacio Bravo Munoz; Mälardalens högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer vision; stereo vision; FPGA; embedded systems; Computer Science; datavetenskap;

    Sammanfattning : Autonomous agents rely on information from the surrounding environment to act upon. In the array of sensors available, the image sensor is perhaps the most versatile, allowing for detection of colour, size, shape, and depth. For the latter, in a dynamic environment, assuming no a priori knowledge, stereo vision is a commonly adopted technique. LÄS MER

  7. 5. Smart Technologies for Unmanned Surface Vessels : On the Path Towards Full Automation

    Författare :Mårten Lager; Institutionen för datavetenskap; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Virtual reality; human interaction; Positioning; Navigation; Unmanned Surface Vessel; Autonomous system; Teleoperation;

    Sammanfattning : As for the automotive industry, large efforts are being made by industry andacademia to create autonomous ships. Te solutions for this is very technologyintense, as many building blocks, often relying on AI technology, need to worktogether to create a complete system that is safe and reliable to use. LÄS MER