Using an FPGA SoC to accelerate semi-dense embedded SLAM applications

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• Konstantinos Boikos (Imperial College)
• Monday 09 November 2015, 15:00-16:00
• Level 9 Mahanakorn Lab., EE Dept..

If you have a question about this talk, please contact Grigorios Mingas.

Simultaneous localisation and mapping, or SLAM , is the problem of using a series of observations of an environment to build a map of that environment while simultaneously keeping track of the observer’s position in it. Moving SLAM algorithms into the embedded space with efficient, low-power designs can open the way to emerging new applications including autonomous robotics and augmented reality. Such applications will require an accurate and information rich reconstruction of the environment. Current approaches try to achieve this by either significantly reducing the richness and accuracy of the information or by offloading the computation to a base station, thereby increasing energy consumption and latency. In this talk we will discuss the use of a novel platform for this kind of problem, a hybrid embedded Field Programmable Gate Array System on Chip (FPGA-SoC).

This talk is part of the CAS Talks series.

This talk is included in these lists:

• Andrea Picciau's list
• CAS Talks
• Circuits and Systems Group: Internal Seminars
• Level 9 Mahanakorn Lab., EE Dept.

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