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School of
Computer Science
and Communication
KTH / CAS
Mobile systems and sensor fusion

Mobile systems and sensor fusion

Objectives

The development of new low-cost sensing and computing technology facilitates fast development of a new area of mobile sensing systems. These systems support new ways of how humans and artificial agents interact with the physical environment. This project is focused on the hardware and software design of such systems with different sensory modalities in focus. Sensor data is critical for efficient control of mobile systems. Any information that ranges from accurate position to the environmental context is of benefit for advanced decision making.

Our goal is the development of algorithms for acquiring, processing and automatic interpretation of sensory data obtained from a variety of mobile sensors, including primarily vision and radio. The initial implementation of the project will be centered around two sensory modalities: vision and Ultra Wideband (UWB) sensors. These sensory systems could either be worn by a person or placed on an autonomous vehicle. The main research goals are i) to develop suitable representation of the environment using multi-sensory data, ii) to develop algorithms for localization of humans and artificial mobile agents and iii) multi-agent formation control.

Two major focus areas are:
  • Panoramic imaging, efficient communication and data retrieval
  • Localization and Formation Control with UWB Sensors

More details here .

Involved groups:

Computational Vision and Active perception Lab
Signal processing
Sound and Image processing
Optimization and system theory
Published by: Danica Kragic <danik@csc.kth.se>
Updated 2010-03-01