Zobrazeno 1 - 10
of 39
pro vyhledávání: '"M.-J. Aldon"'
Autor:
M.-J. Aldon, Geovany A. Borges
Publikováno v:
Journal of Intelligent and Robotic Systems. 40:267-297
This paper presents a geometrical feature detection framework for use with conventional 2D laser rangefinders. This framework is composed of three main procedures: data pre-processing, breakpoint detection and line extraction. In data pre-processing,
Autor:
Geovany A. Borges, M.-J. Aldon
Publikováno v:
Robotics and Autonomous Systems. 45:131-159
This paper presents an improved weighted least-squares algorithm used for optimal 2D pose estimation of mobile robots navigating in real environments represented by geometrical maps. Following this map representation paradigm, feature matching is an
Autor:
M.-J. Aldon, Geovany A. Borges
Publikováno v:
IEEE Transactions on Robotics and Automation. 18:87-94
We propose a weighted least-squares (WLS) algorithm for optimal pose estimation of mobile robots using geometrical maps as environment models. Pose estimation is achieved from feature correspondences in a nonlinear framework without linearization. Th
Publikováno v:
FUZZ-IEEE
This paper deals with main apparent motion estimation using a fuzzy representation of a pixel's gray level. Rough histograms and possibility theory are used to provide an accurate estimation of the motion. The use of these theories allows us to partl
Publikováno v:
3rd International Conference on Image and Signal Processing and Analysis
ISPA: Image and Signal Processing and Analysis
ISPA: Image and Signal Processing and Analysis, Sep 2003, Roma, Italy
ISPA: Image and Signal Processing and Analysis
ISPA: Image and Signal Processing and Analysis, Sep 2003, Roma, Italy
This paper presents a robust self-calibration method as well as results from experiments and simulations. The algorithm tracks points in an image sequence and exploits successive views in order to estimate the fundamental matrix and finally the intri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9de74374712965ac1e3afbfb49544235
https://hal-lirmm.ccsd.cnrs.fr/lirmm-00269523
https://hal-lirmm.ccsd.cnrs.fr/lirmm-00269523
Autor:
G.A. Borges, M.-J. Aldon
Publikováno v:
IROS
This paper introduces a decoupled approach of concurrent mapping and localization for mobile robots. Its theoretical aspects rely on recent techniques for correct uncertainty handling using stochastic models: covariance intersection and unscented tra
Publikováno v:
Oceans '99. MTS/IEEE. Riding the Crest into the 21st Century. Conference and Exhibition. Conference Proceedings (IEEE Cat. No.99CH37008).
This paper presents a terrain-referenced method for positioning an underwater vehicle equipped with a multibeam sonar. The local bathymetric profiles provided by this sensor are matched with a digital elevation map (DEM). The absolute position and he
Publikováno v:
ICIAP
This paper presents a map-based navigation for autonomous underwater vehicles (AUV) that aims to enhance the localisation without external aid. Bathymetric profiles given by a multibeam echosounder are matched to a reference depth map (RDM). The RDM
Autor:
Olivier Strauss, M.-J. Aldon
Publikováno v:
[Proceedings 1993] Second IEEE International Conference on Fuzzy Systems.
The authors present a new segmentation method for range images consisting of a set of planar cross-sectional contours. The approach is novel in that it uses fuzzy criteria for grouping primitives and identifying homogeneous regions. The method was ap
Autor:
Olivier Strauss, M.-J. Aldon
Publikováno v:
CVPR
A solution to extract 3-D shapes from a structured light image is presented. The 2-D striped image is segmented into regions corresponding to quadratic surfaces. A fuzzy analysis of the stripe's properties allows one to locate discontinuities and to