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Author Alex Goldhoorn; Arnau Ramisa; Ramon Lopez de Mantaras; Ricardo Toledo edit  isbn
openurl 
  Title Using the Average Landmark Vector Method for Robot Homing Type Conference Article
  Year 2007 Publication Artificial Intelligence Research and Development, Proceedings of the 10th International Conference of the ACIA Abbreviated Journal  
  Volume 163 Issue Pages 331–338  
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  ISSN ISBN 978–1–58603–798–7 Medium  
  Area Expedition Conference CCIA’07  
  Notes (up) RV;ADAS Approved no  
  Call Number Admin @ si @ GRL2007 Serial 899  
Permanent link to this record
 
 
Author Arnau Ramisa; Ramon Lopez de Mantaras; Ricardo Toledo edit  openurl
  Title Comparing Combinations of Feature Regions for Panoramic VSLAM Type Conference Article
  Year 2007 Publication 4th International Conference on Informatics in Control, Automation and Robotics Abbreviated Journal  
  Volume Issue Pages 292–297  
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  Address Angers (France)  
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  ISSN ISBN Medium  
  Area Expedition Conference ICINCO  
  Notes (up) RV;ADAS Approved no  
  Call Number Admin @ si @ RLA2007 Serial 900  
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Author Arnau Ramisa; Adriana Tapus; Ramon Lopez de Mantaras; Ricardo Toledo edit  openurl
  Title Mobile Robot Localization using Panoramic Vision and Combination of Feature Region Detectors Type Conference Article
  Year 2008 Publication IEEE International Conference on Robotics and Automation, Abbreviated Journal  
  Volume Issue Pages 538–543  
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  Address Pasadena; CA; USA  
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  Area Expedition Conference ICRA  
  Notes (up) RV;ADAS Approved no  
  Call Number Admin @ si @ RTL2008 Serial 1144  
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Author Arnau Ramisa; David Aldavert; Shrihari Vasudevan; Ricardo Toledo; Ramon Lopez de Mantaras edit  url
openurl 
  Title The IIIA30 MObile Robot Object Recognition Datset Type Conference Article
  Year 2011 Publication 11th Portuguese Robotics Open Abbreviated Journal  
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  Abstract Object perception is a key feature in order to make mobile robots able to perform high-level tasks. However, research aimed at addressing the constraints and limitations encountered in a mobile robotics scenario, like low image resolution, motion blur or tight computational constraints, is still very scarce. In order to facilitate future research in this direction, in this work we present an object detection and recognition dataset acquired using a mobile robotic platform. As a baseline for the dataset, we evaluated the cascade of weak classifiers object detection method from Viola and Jones.  
  Address Lisboa  
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  ISSN ISBN Medium  
  Area Expedition Conference Robotica  
  Notes (up) RV;ADAS Approved no  
  Call Number Admin @ si @ RAV2011 Serial 1777  
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