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  <div class="vevent h-event"> <h1 class="summary p-name">Pi in the Sky: How Computer Vision can give a Quadcopter Autonomous Flight</h1> <div class='date'><time class="dtstart dt-start" title="2013-06-04T10:30:00" datetime="2013-06-04T10:30:00">Tuesday, June 4, 2013 from 10:30</time>–<time class="dtend dt-end" title="2013-06-04T11:30:00" datetime="2013-06-04T11:30:00">11:30am</time></div> <div class="location vcard p-location h-card"> <a class="url" href='http://calagator.org/venues/202390439'><span class='fn org p-name'>Galois, Inc</span></a> <div class="adr p-adr h-adr"> <div class="street-address p-street-address">421 SW 6th Ave. Suite 300</div> <span class="locality p-locality">Portland</span> , <span class="region p-region">OR</span> <span class="postal-code p-postal-code">97204</span> <div class="country-name p-country-name">US</div> (<a href='https://maps.google.com/maps?q=421%20SW%206th%20Ave.%20Suite%20300,%20Portland%20OR%2097204%20US'>map</a>) </div> </div> <div class="description p-description"> <p>Five students in PSU’s Electrical and Computer Engineering Senior Capstone sequence want to show you what they’ve created: an inexpensive computer vision system for a quadcopter running on a Raspberry Pi board. One might be surprised how simple it is to code a decent object tracking algorithm using open-source software, and how difficult it is to keep a quadcopter from crashing into the wall in the debug stage. This talk should appeal to the RC hobbyist, the embedded systems programmer, and anyone interested in the art of computer vision. The presentation will include video footage of what these students have accomplished and how they pulled it off.</p> </div> <h3>Links</h3> <ul> <li><a class="url u-url" href="http://corp.galois.com/blog/2013/5/30/tech-talk-pi-in-the-sky-how-computer-vision-can-give-a-quadc.html">Website</a></li> </ul> </div>