Event-based SLAM for embedded robotics
Perhaps you remember my post some month ago about event-based particle filtering? In the meantime we extended the particle filter to a full SLAM algorithm. SLAM is the abbreviation for "Simultaneous Localization and Mapping" and refers to the fundamental problem in robotics and computer vision to generate a map of an unknown environment during navigation. Your intelligent vacuum cleaner or bring-me-beer-robot will use SLAM :)
Our approach to SLAM is highly efficient and my ad-hoc implementation runs already in 10x realtime. This makes our algorithm especially suitable for embedded systems.
I have been to Sankt-Petersburg in Russia last week and presented the event-based SLAM method at the conference ICVS 2013. Sankt-Petersburg is a crazy city. They are palaces and gold everywhere while at the same time most of the city is decaying...









