Orthoses, or exoskeletons as they’re more commonly known, are a method to either assist those with reduced mobility in certain parts of their body, or to completely reintroduce function… Read more
A Unifying Contrast Maximization Framework for Event Cameras (CVPR’18)
Posted on: April 18, 2018
Prof. Tobias Delbruck Professor Institute of Neuroinformatics (INI), ETH Zurich and UZH tobi@ini.phys.ethz.ch +41 44 635 30 38
Prof. Margarita Chli Professor Vision for Robotics Lab (V4RL), ETH Zurich chlim@ethz.ch +41 44 632 08 38
Dr. Jeffrey Delmerico Senior Researcher and Postdoc Robotics and Perception Group (RPG), UZH jeffdelmerico@ifi.uzh.ch +41 44 635 45 89
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Real-Time High-Accuracy 2D Localization with Structured Patterns
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Building over algorithms previously developed for digital pens, this article introduces a novel 2D localization technique for mobile robots, based on simple printed patterns. This method combines high absolute accuracy (below 0.3mm), unlimited scalability, low computational requirements (the presented open-source implementation runs at above 45Hz on a low-cost microcontroller) and low cost (below 30 Euros per device at prototype stage). The article first presents the underlying algorithms and localization pipeline. It then describes our reference hardware and software implementations, and finally evaluates the performance of this technique for mobile robots.
Posted on: March 3, 2016