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<title><string language="fre"><![CDATA[2.4. Sensor statistical models]]></string></title>
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<string language="fre"><![CDATA[So far in the characterization
of our sensor measurements, we didn't talk about the errors.
This is precisely what we
want to do in this video. In particular, we want
to compute two probability distributions which are
these: P of having an exteroceptive measurement Z by knowing the
state, so the configuration S, this regards the
exteroceptive sensors.]]></string></description>
<keyword><string language="fre"><![CDATA[robotics]]></string></keyword><keyword><string language="fre"><![CDATA[autonomous vehicles]]></string></keyword><keyword><string language="fre"><![CDATA[informatics]]></string></keyword><keyword><string language="fre"><![CDATA[mobile robots]]></string></keyword>
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VERSION:3.0
CLASS:PUBLIC
REV:2021-09-16 17:49:17
FN:Agostino Martinelli
N:Martinelli;Agostino;;;
URL;TYPE=work:https://www.canal-u.tv/auteurs/martinelli_agostino
ROLE:author
TZ:+0200
END:VCARD
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<date><dateTime>2015-06-01</dateTime></date>
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<string language="fre"><![CDATA[2. Bayes and Kalman Filters]]></string>
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<string language="fre"><![CDATA[Applications. Automates]]></string>
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