|
Author |
Title |
Year |
Publication |
Volume |
Pages |
Links |
|
Jose Manuel Alvarez; Antonio Lopez; Ramon Baldrich |
Illuminant Invariant Model-Based Road Segmentation |
2008 |
IEEE Intelligent Vehicles Symposium, |
|
1155–1180 |
|
|
Alex Goldhoorn; Arnau Ramisa; Ramon Lopez de Mantaras; Ricardo Toledo |
Using the Average Landmark Vector Method for Robot Homing |
2007 |
Artificial Intelligence Research and Development, Proceedings of the 10th International Conference of the ACIA |
163 |
331–338 |
|
|
Angel Sappa; Fadi Dornaika; David Geronimo; Antonio Lopez |
Efficient On-Board Stereo Vision Pose Estimation |
2007 |
Computer Aided Systems Theory, Selected paper from |
4739 |
1183–1190 |
|
|
Angel Sappa; Rosa Herrero; Fadi Dornaika; David Geronimo; Antonio Lopez |
Road Approximation in Euclidean and v-Disparity Space: A Comparative Study |
2007 |
Computer Aided Systems Theory, |
4739 |
1105–1112 |
|
|
Angel Sappa; Rosa Herrero; Fadi Dornaika; David Geronimo; Antonio Lopez |
Road Approximation in Euclidean and v-Disparity Space: A Comparative Study |
2007 |
EUROCAST2007, Workshop on Cybercars and Intelligent Vehicles |
|
368–369 |
|
|
Antonio Lopez; Joan Serrat; Cristina Cañero; Felipe Lumbreras |
Robust Lane Lines Detection and Quantitative Assessment |
2007 |
3rd Iberian Conference on Pattern Recognition and Image Analysis |
4477 |
274–281 |
|
|
Arnau Ramisa; Ramon Lopez de Mantaras; Ricardo Toledo |
Comparing Combinations of Feature Regions for Panoramic VSLAM |
2007 |
4th International Conference on Informatics in Control, Automation and Robotics |
|
292–297 |
|
|
Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat; Antonio Lopez |
Motion Segmentation from Feature Trajectories with Missing Data |
2007 |
3rd. Iberian Conference on Pattern Recognition and Image Analysis |
LNCS 4477 |
483–490 |
|
|
Daniel Ponsa; Antonio Lopez |
Cascade of Classifiers for Vehicle Detection |
2007 |
Advanced Concepts for Intelligent Vision Systems, LNCS 4678, volume 1, pp. 980–989 |
|
|
|
|
Daniel Ponsa; Antonio Lopez |
Feature Selection Based on a New Formulation of the Minimal-Redundancy-Maximal-Relevance Criterion |
2007 |
3rd Iberian Conference on Pattern Recognition and Image Analysis, LNCS 4477 |
|
47-54 |
|