UMR CNRS 7253

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en:video [2014/03/12 10:44] bonnifen:video [2014/11/12 15:38] bonnif
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 +===== Look at my YouTube channel =====
 +[[https://www.youtube.com/channel/UC1DKjKoeB70PwAfoqPcxxcw/videos|Click here]]
 +
 ===== Drivable space characterization  ===== ===== Drivable space characterization  =====
  
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 ===== Visual memory management ===== ===== Visual memory management =====
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-<object width="425" height="344"><param name="movie" value="http://www.youtube.com/v/55gbgNaZQlk&hl=en&fs=1"></param><param name="allowFullScreen" value="true"></param><embed src="http://www.youtube.com/v/55gbgNaZQlk&hl=en&fs=1" type="application/x-shockwave-flash" allowfullscreen="true" width="425" height="344"></embed></object> 
-</html> 
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 This video Shows the problem of localizing a vehicle in urban environment by using natural information provided by exteroceptive sensors. For this purpose, sensors need to detect landmarks which have been characterized in a previous passage. As the amount of data can be significantly large, a strategy has been used to manage this information in a GIS (Geographical Information System). The developments have been illustrated using visual landmarks made of key images and 3D points that correspond to the roads of a GIS layer thanks to the use of GPS data and proprioceptive sensors. Real experiments are reported to illustrate the performance of this approach which is robust to GPS outages due to poor satellite visibility in urban areas. This video Shows the problem of localizing a vehicle in urban environment by using natural information provided by exteroceptive sensors. For this purpose, sensors need to detect landmarks which have been characterized in a previous passage. As the amount of data can be significantly large, a strategy has been used to manage this information in a GIS (Geographical Information System). The developments have been illustrated using visual landmarks made of key images and 3D points that correspond to the roads of a GIS layer thanks to the use of GPS data and proprioceptive sensors. Real experiments are reported to illustrate the performance of this approach which is robust to GPS outages due to poor satellite visibility in urban areas.
-[[http://www.youtube.com/v/ubjhBwpy8pA|See the video]]+[[http://www.youtube.com/v/55gbgNaZQlk&hl=en&fs=1|See the video]]
  

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