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Author (down) 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  
  Volume Issue Pages  
  Keywords  
  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  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference Robotica  
  Notes RV;ADAS Approved no  
  Call Number Admin @ si @ RAV2011 Serial 1777  
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Author (down) 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  
  Keywords  
  Abstract  
  Address Pasadena; CA; USA  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference ICRA  
  Notes RV;ADAS Approved no  
  Call Number Admin @ si @ RTL2008 Serial 1144  
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Author (down) Ariel Amato; Felipe Lumbreras; Angel Sappa edit   pdf
openurl 
  Title A General-purpose Crowdsourcing Platform for Mobile Devices Type Conference Article
  Year 2014 Publication 9th International Conference on Computer Vision Theory and Applications Abbreviated Journal  
  Volume 3 Issue Pages 211-215  
  Keywords Crowdsourcing Platform; Mobile Crowdsourcing  
  Abstract This paper presents details of a general purpose micro-task on-demand platform based on the crowdsourcing philosophy. This platform was specifically developed for mobile devices in order to exploit the strengths of such devices; namely: i) massivity, ii) ubiquity and iii) embedded sensors. The combined use of mobile platforms and the crowdsourcing model allows to tackle from the simplest to the most complex tasks. Users experience is the highlighted feature of this platform (this fact is extended to both task-proposer and tasksolver). Proper tools according with a specific task are provided to a task-solver in order to perform his/her job in a simpler, faster and appealing way. Moreover, a task can be easily submitted by just selecting predefined templates, which cover a wide range of possible applications. Examples of its usage in computer vision and computer games are provided illustrating the potentiality of the platform.  
  Address Lisboa; Portugal; January 2014  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference VISAPP  
  Notes ISE; ADAS; 600.054; 600.055; 600.076; 600.078 Approved no  
  Call Number Admin @ si @ ALS2014 Serial 2478  
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Author (down) Ariel Amato; Angel Sappa; Alicia Fornes; Felipe Lumbreras; Josep Llados edit   pdf
doi  isbn
openurl 
  Title Divide and Conquer: Atomizing and Parallelizing A Task in A Mobile Crowdsourcing Platform Type Conference Article
  Year 2013 Publication 2nd International ACM Workshop on Crowdsourcing for Multimedia Abbreviated Journal  
  Volume Issue Pages 21-22  
  Keywords  
  Abstract In this paper we present some conclusions about the advantages of having an efficient task formulation when a crowdsourcing platform is used. In particular we show how the task atomization and distribution can help to obtain results in an efficient way. Our proposal is based on a recursive splitting of the original task into a set of smaller and simpler tasks. As a result both more accurate and faster solutions are obtained. Our evaluation is performed on a set of ancient documents that need to be digitized.  
  Address Barcelona; October 2013  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN 978-1-4503-2396-3 Medium  
  Area Expedition Conference CrowdMM  
  Notes ADAS; ISE; DAG; 600.054; 600.055; 600.045; 600.061; 602.006 Approved no  
  Call Number Admin @ si @ SLA2013 Serial 2335  
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Author (down) Antonio Lopez; Joan Serrat; Cristina Cañero; Felipe Lumbreras edit   pdf
openurl 
  Title Robust Lane Lines Detection and Quantitative Assessment Type Conference Article
  Year 2007 Publication 3rd Iberian Conference on Pattern Recognition and Image Analysis Abbreviated Journal  
  Volume 4477 Issue Pages 274–281  
  Keywords lane markings  
  Abstract  
  Address Girona (Spain)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor J. Marti et al  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference IbPRIA  
  Notes ADAS Approved no  
  Call Number ADAS @ adas @ LSC2007 Serial 881  
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Author (down) Antonio Lopez; J. Hilgenstock; A. Busse; Ramon Baldrich; Felipe Lumbreras; Joan Serrat edit   pdf
openurl 
  Title Nightime Vehicle Detecion for Intelligent Headlight Control Type Conference Article
  Year 2008 Publication Advanced Concepts for Intelligent Vision Systems, 10th International Conference, Proceedings, Abbreviated Journal  
  Volume 5259 Issue Pages 113–124  
  Keywords Intelligent Headlights; vehicle detection  
  Abstract  
  Address Juan-les-Pins, France  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference ACIVS  
  Notes ADAS;CIC Approved no  
  Call Number ADAS @ adas @ LHB2008a Serial 1098  
Permanent link to this record
 

 
Author (down) Angel Valencia; Roger Idrovo; Angel Sappa; Douglas Plaza; Daniel Ochoa edit   pdf
openurl 
  Title A 3D Vision Based Approach for Optimal Grasp of Vacuum Grippers Type Conference Article
  Year 2017 Publication IEEE International Workshop of Electronics, Control, Measurement, Signals and their application to Mechatronics Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract In general, robot grasping approaches are based on the usage of multi-finger grippers. However, when large size objects need to be manipulated vacuum grippers are preferred, instead of finger based grippers. This paper aims to estimate the best picking place for a two suction cups vacuum gripper,
when planar objects with an unknown size and geometry are considered. The approach is based on the estimation of geometric properties of object’s shape from a partial cloud of points (a single 3D view), in such a way that combine with considerations of a theoretical model to generate an optimal contact point
that minimizes the vacuum force needed to guarantee a grasp.
Experimental results in real scenarios are presented to show the validity of the proposed approach.
 
  Address San Sebastian; Spain; May 2017  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference ECMSM  
  Notes ADAS; 600.086; 600.118 Approved no  
  Call Number Admin @ si @ VIS2017 Serial 2917  
Permanent link to this record
 

 
Author (down) Angel Sappa; Rosa Herrero; Fadi Dornaika; David Geronimo; Antonio Lopez edit   pdf
url  openurl
  Title Road Approximation in Euclidean and v-Disparity Space: A Comparative Study Type Conference Article
  Year 2007 Publication Computer Aided Systems Theory, Abbreviated Journal  
  Volume 4739 Issue Pages 1105–1112  
  Keywords  
  Abstract This paper presents a comparative study between two road approximation techniques—planar surfaces—from stereo vision data. The first approach is carried out in the v-disparity space and is based on a voting scheme, the Hough transform. The second one consists in computing the best fitting plane for the whole 3D road data points, directly in the Euclidean space, by using least squares fitting. The comparative study is initially performed over a set of different synthetic surfaces
(e.g., plane, quadratic surface, cubic surface) digitized by a virtual stereo head; then real data obtained with a commercial stereo head are used. The comparative study is intended to be used as a criterion for fining the best technique according to the road geometry. Additionally, it highlights common problems driven from a wrong assumption about the scene’s prior knowledge.
 
  Address Las Palmas de Gran Canaria (Spain)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference EUROCAST  
  Notes ADAS Approved no  
  Call Number ADAS @ adas @ SHD2007b Serial 917  
Permanent link to this record
 

 
Author (down) Angel Sappa; Rosa Herrero; Fadi Dornaika; David Geronimo; Antonio Lopez edit   pdf
openurl 
  Title Road Approximation in Euclidean and v-Disparity Space: A Comparative Study Type Conference Article
  Year 2007 Publication EUROCAST2007, Workshop on Cybercars and Intelligent Vehicles Abbreviated Journal  
  Volume Issue Pages 368–369  
  Keywords  
  Abstract This paper presents a comparative study between two road approximation techniques—planar surfaces—from stereo vision data. The first approach is carried out in the v-disparity space and is based on a voting scheme, the Hough transform. The second one consists in computing the best fitting plane for the whole 3D road data points, directly in the Euclidean space, by using least squares fitting. The comparative study is initially performed over a set of different synthetic surfaces
(e.g., plane, quadratic surface, cubic surface) digitized by a virtual stereo head; then real data obtained with a commercial stereo head are used. The comparative study is intended to be used as a criterion for fining the best technique according to the road geometry. Additionally, it highlights common problems driven from a wrong assumption about the scene’s prior knowledge.
 
  Address Las Palmas de Gran Canaria (Spain)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes ADAS Approved no  
  Call Number ADAS @ adas @ SHD2007a Serial 936  
Permanent link to this record
 

 
Author (down) Angel Sappa; Niki Aifanti; Sotiris Malassiotis; Michael G. Strintzis edit  openurl
  Title Monocular 3D Human Body Reconstruction Towards Depth Augmentation of Television Sequences Type Conference Article
  Year 2003 Publication IEEE International Conference on Image Processing, Barcelona, Spain, September 2003 Abbreviated Journal  
  Volume Issue Pages 325-328  
  Keywords  
  Abstract  
  Address Barcelona  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes ADAS Approved no  
  Call Number ADAS @ adas @ SAM2003 Serial 418  
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