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Author |
Joan Serrat; Antonio Lopez |
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Title |
Deteccion automatica de lineas de carril para la asistencia a la conduccion |
Type |
Miscellaneous |
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Year |
2010 |
Publication |
UAB Divulga – Revista de divulgacion cientifica |
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La detección por cámara de las líneas de carril en las carreteras puede ser una solución asequible a los riesgos de conducción generados por los adelantamientos o las salidas de carril. Este trabajo propone un sistema que funciona en tiempo real y que obtiene muy buenos resultados. El sistema está preparado para identificar las líneas en condiciones de visibilidad poco favorables, como puede ser la conducción nocturna o con otros vehículos que dificulten la visión. |
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Bellaterra (Spain) |
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ADAS |
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ADAS @ adas @ SeL2010 |
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1430 |
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Author |
Joan Serrat |
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Title |
Aplicacion del analisis de imagenes en radiologia. |
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Miscellaneous |
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Year |
1995 |
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To be published in a CD––ROM edited by AERFAI, the Spanish image Analysis and Pattern. |
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ADAS |
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ADAS @ adas @ Ser1995 |
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120 |
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Author |
Angel Sappa; David Geronimo; Fadi Dornaika; Antonio Lopez |
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Title |
On-board camera extrinsic parameter estimation |
Type |
Journal Article |
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Year |
2006 |
Publication |
Electronics Letters |
Abbreviated Journal |
EL |
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Volume |
42 |
Issue |
13 |
Pages |
745–746 |
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Abstract |
An efficient technique for real-time estimation of camera extrinsic parameters is presented. It is intended to be used on on-board vision systems for driving assistance applications. The proposed technique is based on the use of a commercial stereo vision system that does not need any visual feature extraction. |
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IEE |
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ADAS |
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ADAS @ adas @ SGD2006a |
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655 |
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Author |
Angel Sappa; David Geronimo; Fadi Dornaika; Antonio Lopez |
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Title |
Real Time Vehicle Pose Using On-Board Stereo Vision System |
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Conference Article |
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Year |
2006 |
Publication |
International Conference on Image Analysis and Recognition |
Abbreviated Journal |
ICIAR |
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Issue |
LNCS 4142 |
Pages |
205–216 |
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This paper presents a robust technique for a real time estimation of both camera’s position and orientation—referred as pose. A commercial stereo vision system is used. Unlike previous approaches, it can be used either for urban or highway scenarios. The proposed technique consists of two stages. Initially, a compact 2D representation of the original 3D data points is computed. Then, a RANSAC based least squares approach is used for fitting a plane to the road. At the same time,
relative camera’s position and orientation are computed. The proposed technique is intended to be used on a driving assistance scheme for applications such as obstacle or pedestrian detection. Experimental results on urban environments with different road geometries are presented. |
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ADAS |
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no |
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ADAS @ adas @ SGD2006b |
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671 |
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Author |
Angel Sappa; David Geronimo; Fadi Dornaika; Antonio Lopez |
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Title |
Stereo Vision Camera Pose Estimation for On-Board Applications |
Type |
Book Chapter |
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Year |
2007 |
Publication |
Scene Reconstruction, Pose Estimation and Traking |
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39-50 |
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Rustam Stolking |
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978-3-902613-06-6 |
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ADAS |
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no |
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Call Number |
ADAS @ adas @ SGD2007 |
Serial |
797 |
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Author |
Angel Sappa; Rosa Herrero; Fadi Dornaika; David Geronimo; Antonio Lopez |
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Title |
Road Approximation in Euclidean and v-Disparity Space: A Comparative Study |
Type |
Conference Article |
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Year |
2007 |
Publication |
EUROCAST2007, Workshop on Cybercars and Intelligent Vehicles |
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368–369 |
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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. |
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Las Palmas de Gran Canaria (Spain) |
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ADAS |
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Call Number |
ADAS @ adas @ SHD2007a |
Serial |
936 |
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Author |
Angel Sappa; Rosa Herrero; Fadi Dornaika; David Geronimo; Antonio Lopez |
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Title |
Road Approximation in Euclidean and v-Disparity Space: A Comparative Study |
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Conference Article |
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Year |
2007 |
Publication |
Computer Aided Systems Theory, |
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Volume |
4739 |
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Pages |
1105–1112 |
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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. |
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Las Palmas de Gran Canaria (Spain) |
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EUROCAST |
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ADAS |
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no |
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Call Number |
ADAS @ adas @ SHD2007b |
Serial |
917 |
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Author |
A.F. Sole; Antonio Lopez; Cristina Cañero; Petia Radeva; J. Saludes |
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Title |
Crease enhancement diffusion |
Type |
Miscellaneous |
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Year |
1999 |
Publication |
Proceedings of the VIII Symposium Nacional de Reconocimiento de Formas y Analisis de Imagenes |
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Bilbao |
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ADAS;MILAB |
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ADAS @ adas @ SLC1999 |
Serial |
9 |
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Author |
Joan Serrat; Antonio Lopez; D. Lloret |
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Title |
On ridges and valleys. |
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Miscellaneous |
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2000 |
Publication |
15 th International Conference on Pattern Recognition, 4:59–66. |
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Barcelona |
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ADAS |
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ADAS @ adas @ SLL2000 d |
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334 |
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Author |
A.F. Sole; Antonio Lopez; G. Sapiro |
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Title |
Crease Enhancement Diffusion |
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Journal Article |
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2001 |
Publication |
Computer Vision and Image Understanding, 84(2): 241–248 (IF: 1.298) |
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New York; USA |
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ADAS |
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ADAS @ adas @ SLS2001 |
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485 |
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Author |
Yainuvis Socarras; David Vazquez; Antonio Lopez; David Geronimo; Theo Gevers |
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Title |
Improving HOG with Image Segmentation: Application to Human Detection |
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Conference Article |
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2012 |
Publication |
11th International Conference on Advanced Concepts for Intelligent Vision Systems |
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7517 |
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178-189 |
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Segmentation; Pedestrian Detection |
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In this paper we improve the histogram of oriented gradients (HOG), a core descriptor of state-of-the-art object detection, by the use of higher-level information coming from image segmentation. The idea is to re-weight the descriptor while computing it without increasing its size. The benefits of the proposal are two-fold: (i) to improve the performance of the detector by enriching the descriptor information and (ii) take advantage of the information of image segmentation, which in fact is likely to be used in other stages of the detection system such as candidate generation or refinement.
We test our technique in the INRIA person dataset, which was originally developed to test HOG, embedding it in a human detection system. The well-known segmentation method, mean-shift (from smaller to larger super-pixels), and different methods to re-weight the original descriptor (constant, region-luminance, color or texture-dependent) has been evaluated. We achieve performance improvements of 4:47% in detection rate through the use of differences of color between contour pixel neighborhoods as re-weighting function. |
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Brno, Czech Republic |
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Springer Berlin Heidelberg |
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J. Blanc-Talon et al. |
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English |
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LNCS |
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0302-9743 |
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978-3-642-33139-8 |
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ACIVS |
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ADAS;ISE |
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ADAS @ adas @ SLV2012 |
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1980 |
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Author |
A.F. Sole; S. Ngan; G. Sapiro; X. Hu; Antonio Lopez |
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Anisotropic 2-D and 3-D Averaging of fMRI Signals |
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2001 |
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IEEE Transactions on Medical Imaging, 20(2): 86–93 (IF: 3.142) |
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ADAS |
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ADAS @ adas @ SNS2001 |
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165 |
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Yainuvis Socarras; Sebastian Ramos; David Vazquez; Antonio Lopez; Theo Gevers |
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Adapting Pedestrian Detection from Synthetic to Far Infrared Images |
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Conference Article |
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2013 |
Publication |
ICCV Workshop on Visual Domain Adaptation and Dataset Bias |
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Domain Adaptation; Far Infrared; Pedestrian Detection |
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We present different techniques to adapt a pedestrian classifier trained with synthetic images and the corresponding automatically generated annotations to operate with far infrared (FIR) images. The information contained in this kind of images allow us to develop a robust pedestrian detector invariant to extreme illumination changes. |
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Sydney; Australia; December 2013 |
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Sydney, Australy |
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English |
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ICCVW-VisDA |
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ADAS; 600.054; 600.055; 600.057; 601.217;ISE |
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ADAS @ adas @ SRV2013 |
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2334 |
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Joan Serrat; X. Varona; Antonio Lopez; Xavier Roca; Juan J. Villanueva |
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P3: a three-dimensional digitizer prototype. |
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Miscellaneous |
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2001 |
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Proceedings of the IX Spanish Symposium on Pattern Recognition and Image Analysis, 1:315–322. |
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Castellon. |
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ADAS;ISE |
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no |
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ADAS @ adas @ SVL2001 |
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213 |
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Author |
Joan Serrat; Jordi Vitria; J. Pladellorens |
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Title |
Morphological Segmentation of Heart Scintigraphic image Sequences. |
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1991 |
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Computer Assisted Radiology. |
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Berlin |
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ADAS;OR;MV |
Approved |
no |
|
| |
Call Number |
ADAS @ adas @ SVP1991 |
Serial |
263 |
|
| Permanent link to this record |
