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Hugo Berti, Angel Sappa and Osvaldo Agamennoni. 2007. Autonomous robot navigation with a global and asymptotic convergence. IEEE International Conference on Robotics and Automation.2712–2717.
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David Geronimo, Antonio Lopez and Angel Sappa. 2007. Computer Vision Approaches for Pedestrian Detection: Visible Spectrum Survey. In J. Marti et al., ed. 3rd Iberian Conference on Pattern Recognition and Image Analysis, LNCS 4477.547–554.
Abstract: Pedestrian detection from images of the visible spectrum is a high relevant area of research given its potential impact in the design of pedestrian protection systems. There are many proposals in the literature but they lack a comparative viewpoint. According to this, in this paper we first propose a common framework where we fit the different approaches, and second we use this framework to provide a comparative point of view of the details of such different approaches, pointing out also the main challenges to be solved in the future. In summary, we expect
this survey to be useful for both novel and experienced researchers in the field. In the first case, as a clarifying snapshot of the state of the art; in the second, as a way to unveil trends and to take conclusions from the comparative study.
Keywords: Pedestrian detection
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David Geronimo, Antonio Lopez, Daniel Ponsa and Angel Sappa. 2007. Haar Wavelets and Edge Orientation Histograms for On-Board Pedestrian Detection. In J. Marti et al., ed. 3rd Iberian Conference on Pattern Recognition and Image Analysis, LNCS 4477.418–425.
Keywords: Pedestrian detection
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Fadi Dornaika and Angel Sappa. 2007. Real-time Vehicle Ego-Motion using Stereo Pairs and Particle Filters. Int. Conf. on Image Analysis and Recognition,.469–480. (LNCS.)
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Joan Serrat, Ferran Diego, Jose Manuel Alvarez and Felipe Lumbreras. 2007. Alignment of Videos Recorded from Moving Vehicles. in 14th International Conference on Image Analysis and Processing,.512–517.
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Joan Serrat, Ferran Diego, Felipe Lumbreras and Jose Manuel Alvarez. 2007. Synchronization of Video Sequences from Free-moving Cameras. In J. Marti et al., ed. 3rd Iberian Conference on Pattern Recognition and Image Analysis.620–627. (LNCS.)
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Antonio Lopez, Joan Serrat, Cristina Cañero and Felipe Lumbreras. 2007. Robust Lane Lines Detection and Quantitative Assessment. In J. Marti et al, ed. 3rd Iberian Conference on Pattern Recognition and Image Analysis.274–281. (LNCS.)
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Alex Goldhoorn, Arnau Ramisa, Ramon Lopez de Mantaras and Ricardo Toledo. 2007. Using the Average Landmark Vector Method for Robot Homing. Artificial Intelligence Research and Development, Proceedings of the 10th International Conference of the ACIA.331–338.
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Arnau Ramisa, Ramon Lopez de Mantaras and Ricardo Toledo. 2007. Comparing Combinations of Feature Regions for Panoramic VSLAM. 4th International Conference on Informatics in Control, Automation and Robotics.292–297.
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Angel Sappa, Fadi Dornaika, David Geronimo and Antonio Lopez. 2007. Efficient On-Board Stereo Vision Pose Estimation. Computer Aided Systems Theory, Selected paper from.1183–1190. (LNCS.)
Abstract: This paper presents an efficient technique for real time estimation of on-board stereo vision system pose. The whole process is performed in the Euclidean space and consists of two stages. Initially, a compact representation of the original 3D data points is computed. Then, a RANSAC based least squares approach is used for fitting a plane to the 3D road points. Fast RANSAC fitting is obtained by selecting points according to a probability distribution function that takes into account the density of points at a given depth. Finally, stereo camera position
and orientation—pose—is computed relative to the road plane. The proposed technique is intended to be used on driver assistance systems for applications such as obstacle or pedestrian detection. A real time performance is reached. Experimental results on several environments and comparisons with a previous work are presented.
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