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German Ros, J. Guerrero, Angel Sappa, Daniel Ponsa and Antonio Lopez. 2013. Fast and Robust l1-averaging-based Pose Estimation for Driving Scenarios. 24th British Machine Vision Conference.
Abstract: Robust visual pose estimation is at the core of many computer vision applications, being fundamental for Visual SLAM and Visual Odometry problems. During the last decades, many approaches have been proposed to solve these problems, being RANSAC one of the most accepted and used. However, with the arrival of new challenges, such as large driving scenarios for autonomous vehicles, along with the improvements in the data gathering frameworks, new issues must be considered. One of these issues is the capability of a technique to deal with very large amounts of data while meeting the realtime
constraint. With this purpose in mind, we present a novel technique for the problem of robust camera-pose estimation that is more suitable for dealing with large amount of data, which additionally, helps improving the results. The method is based on a combination of a very fast coarse-evaluation function and a robust ℓ1-averaging procedure. Such scheme leads to high-quality results while taking considerably less time than RANSAC.
Experimental results on the challenging KITTI Vision Benchmark Suite are provided, showing the validity of the proposed approach.
Keywords: SLAM
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Daniel Ponsa and Antonio Lopez. 2007. Vehicle Trajectory Estimation based on Monocular Vision. 3rd Iberian Conference on Pattern Recognition and Image Analysis, LNCS 4477.587–594.
Keywords: vehicle detection
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Daniel Ponsa and Antonio Lopez. 2007. Feature Selection Based on a New Formulation of the Minimal-Redundancy-Maximal-Relevance Criterion. 3rd Iberian Conference on Pattern Recognition and Image Analysis, LNCS 4477.47–54.
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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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