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	<title>The Rawseeds Project &#187; Sensors</title>
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	<link>http://www.rawseeds.org/home</link>
	<description>Raw seeds can be consumed as they are...or be the start for the growth of new results.</description>
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		<title>Ultrasound transducers</title>
		<link>http://www.rawseeds.org/home/2007/12/15/ultrasonic-sensors/</link>
		<comments>http://www.rawseeds.org/home/2007/12/15/ultrasonic-sensors/#comments</comments>
		<pubDate>Fri, 14 Dec 2007 23:07:45 +0000</pubDate>
		<dc:creator><![CDATA[giulio.fontana]]></dc:creator>
				<category><![CDATA[Sensors]]></category>

		<guid isPermaLink="false">http://www.jeia.it/rawseeds/home/2007/12/15/ultrasonic-sensors/</guid>
		<description><![CDATA[For indoor acquisition, our plarforms are equipped with a sonar belt composed of 12 Maxbotix EZ-2 ultrasound transducers. The sensors are positioned all around the robot; they are activated in groups, so to prevent crosstalk. The control electronics interfacing the transducer with the data-acquisition PC has been designed and built by POLIMI. These sensors have [&#8230;]]]></description>
				<content:encoded><![CDATA[<p>For indoor acquisition, our plarforms are equipped with a sonar belt composed of 12 <a href= "http://www.maxbotix.com/uploads/LV-MaxSonar-EZ2-Datasheet.pdf">Maxbotix EZ-2</a> ultrasound transducers. The sensors are positioned all around the robot; they are activated in groups, so to prevent crosstalk. The control electronics interfacing the transducer with the data-acquisition PC has been designed and built by POLIMI.<br />
These sensors have limited range: therefore, they were not used for outdoor and mixed data-acquisition sessions.</p>
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		<title>Inertial measurement unit</title>
		<link>http://www.rawseeds.org/home/2007/12/15/inertial-measurement-units/</link>
		<comments>http://www.rawseeds.org/home/2007/12/15/inertial-measurement-units/#comments</comments>
		<pubDate>Fri, 14 Dec 2007 23:06:27 +0000</pubDate>
		<dc:creator><![CDATA[giulio.fontana]]></dc:creator>
				<category><![CDATA[Sensors]]></category>

		<guid isPermaLink="false">http://www.jeia.it/rawseeds/home/2007/12/15/inertial-measurement-units/</guid>
		<description><![CDATA[The sensors mounted on the data-acquisition robot platform include an Inertial Measurement Unit (IMU) providing 3-axis angular orientation, acceleration, rate-of-turn and Earth magnetic field data. We used an Xsense MTi device, selecting the version with 1,7g full scale acceleration and 150deg/s full scale rate of turn.]]></description>
				<content:encoded><![CDATA[<p>The sensors mounted on the data-acquisition robot platform include an Inertial Measurement Unit (IMU) providing 3-axis angular orientation, acceleration, rate-of-turn and Earth magnetic field data. We used an <a href="http://www.xsens.com/index.php?mainmenu=products&amp;submenu=machine_motion&amp;subsubmenu=MTi">Xsense MTi</a> device, selecting the version with 1,7g full scale acceleration and 150deg/s full scale rate of turn.</p>
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		<title>Onboard camera systems</title>
		<link>http://www.rawseeds.org/home/2007/12/15/cameras/</link>
		<comments>http://www.rawseeds.org/home/2007/12/15/cameras/#comments</comments>
		<pubDate>Fri, 14 Dec 2007 23:05:44 +0000</pubDate>
		<dc:creator><![CDATA[giulio.fontana]]></dc:creator>
				<category><![CDATA[Sensors]]></category>

		<guid isPermaLink="false">http://www.jeia.it/rawseeds/home/2007/12/15/cameras/</guid>
		<description><![CDATA[Rawseeds&#8217; sensor suite includes many vision components. Specifically, we used: binocular and trinocular black-and-white (B/W) vision; normal perspective, color and B/W cameras; omnidirectional color vision with hyperbolic mirror. The binocular vision system is composed of a two-camera Videre Design STH-DCSG-VAR system (two FireWire, B/W, 640&#215;480 pixel cameras mounted on a common mechanical frame that allows [&#8230;]]]></description>
				<content:encoded><![CDATA[<p>Rawseeds&#8217; sensor suite includes many  vision components. Specifically, we used:</p>
<ul>
<li>binocular and trinocular black-and-white (B/W) vision;</li>
<li>normal perspective, color and B/W cameras;</li>
<li>omnidirectional color vision with hyperbolic mirror.</li>
</ul>
<p>The binocular vision system is composed of a two-camera <a href="http://www.videredesign.com/sthdcsgvar.htm">Videre Design STH-DCSG-VAR</a> system (two FireWire, B/W, 640&#215;480 pixel cameras mounted on a common mechanical frame that allows for an adjustable baseline).<br />
Trinocular vision is obtained by combining the binocular STH-DCSG-VAR with an additional <a href="http://www.videredesign.com/Templates/dcsg.htm">Videre Design DCSG</a> camera (the same camera mounted by the STH-DCSG-VAR).<br />
All three cameras of the trinocular system are forward-looking, and provide B/W monocular data streams. Color monocular vision (also forward-looking) is covered by an <a href="http://www.unibrain.com/Products/VisionImg/Fire_i_400_Industrial.htm">Unibrain Fire-i 400</a> camera (FireWire, color, 640&#215;480 pixel). This is a lower-cost device, mounted on the robot to cover the kind of vision sensors that are most likely to be considered for commercial service robotics applications.<br />
Finally, omnidirectional color vision is obtained by using a <a href="http://www.prosilica.com/products/gc1020.html">Prosilica GC1020C</a> camera, configured with a Region Of Interest of 640&#215;640 pixel and fitted with a hyperbolic mirror built by <a href="http://www.vstone.co.jp/e/EVSC15MR15MR37.pdf">Vstone</a>.<br />
All cameras except the Unibrain one were set to a frame rate of 15Hz; the Unibrain camera operated with a 30Hz frame rate. </p>
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		<title>Laser range finders</title>
		<link>http://www.rawseeds.org/home/2007/12/15/laser-range-finders/</link>
		<comments>http://www.rawseeds.org/home/2007/12/15/laser-range-finders/#comments</comments>
		<pubDate>Fri, 14 Dec 2007 23:05:23 +0000</pubDate>
		<dc:creator><![CDATA[giulio.fontana]]></dc:creator>
				<category><![CDATA[Sensors]]></category>

		<guid isPermaLink="false">http://www.jeia.it/rawseeds/home/2007/12/15/laser-range-finders/</guid>
		<description><![CDATA[Rawseeds&#8217; data-gathering platform is equipped with two classes of Laser Range Finders (LRF). Short-range (4m range, less at low reflectivity), cheap LRF. We use two Hokuyo URG-04LX LRFs. Medium- and long-range (respectively &#60;30m and &#60;100m range at 100% reflectivity) high-performance LRFs. We use Sick LMS200 and LMS291.]]></description>
				<content:encoded><![CDATA[<p>Rawseeds&#8217; data-gathering platform is equipped with two classes of Laser Range Finders (LRF).</p>
<ul>
<li>Short-range (4m range, less at low reflectivity), cheap LRF. We use two <a href="http://www.hokuyo-aut.jp/02sensor/07scanner/urg.html">Hokuyo URG-04LX</a> LRFs.</li>
<li>Medium- and long-range (respectively &lt;30m and &lt;100m range at 100% reflectivity) high-performance LRFs. We use <a href="http://mysick.com/partnerPortal/eCat.aspx?c=1&amp;go=FinderSearch&amp;Cat=Row&amp;At=Fa&amp;Cult=English&amp;Category=Produktfinder&amp;FamilyID=267&amp;Selections=8641,0,0,8775,0">Sick LMS200</a> and <a href="http://mysick.com/partnerPortal/eCat.aspx?go=FinderSearch&amp;Cat=Row&amp;At=Fa&amp;Cult=English&amp;Category=Produktfinder&amp;FamilyID=267&amp;Selections=8644,0,0,8775,0">LMS291</a>.</li>
</ul>
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