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Projects

Collaborative Unmanned Aircraft Systems (CUAS)
This project will study and advance the theory and practice of using a collection of collaborating heterogeneous unmanned aircraft systems. Applications involve both emergency services and security applications.
Embodied Visual Object Recognition
This project studies visual object recognition on robot platforms. Object recognition is an enabling competence for human-robot interaction in environments designed for people (e.g. homes, and offices). We do research on active learning for object model acquisition, active object recognition and visual search.
Garnics (Gardening with a Cognitive System)
The GARNICS project aims at 3D sensing of plant growth and building perceptual representations for learning the links to actions of a robot gardener. Plants are complex, self-changing systems with increasing complexity over time. Actions performed at plants (like watering), will have strongly delayed effects. Thus, monitoring and controlling plants is a difficult perception-action problem requiring advanced predictive cognitive properties, which so far can only be provided by experienced human gardeners.
The Virtual Photo Set
The Virtual Photo Set (VPS) will allow users to blend real and virtual objects and generate photo realistic images in which the real and virtual objects are indistinguishable. It will also allow the users to edit the captured reality to alter such things as light sources, object placement and materials etc. The VPS is a natural step in the on-going paradigm shift of the way in which we capture and document reality.
Virtual Global Shutters for CMOS Cameras
This project studies how to model, and to correct for rolling-shutter distortions. Such distortions are present in most CMOS image sensors, e.g. in nearly all cellphones and most camcorders. We also study push-broom sensors for hyper-spectral aerial imaging, as these have a similar geometry.
Completed projects
Non-linear adaptive color image processing
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