J
J. Courbon
Researcher at Centre national de la recherche scientifique
Publications - 8
Citations - 284
J. Courbon is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Mobile robot & Mobile robot navigation. The author has an hindex of 5, co-authored 8 publications receiving 266 citations.
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Proceedings ArticleDOI
A generic fisheye camera model for robotic applications
TL;DR: It is proved that the unified model for catadioptric systems can model fisheye cameras with distortions directly included in its parameters, and an application to the visual servoing of a mobile robot is presented and experimented.
Journal ArticleDOI
Autonomous Navigation of Vehicles from a Visual Memory Using a Generic Camera Model
TL;DR: A complete framework for autonomous vehicle navigation using a single camera and natural landmarks is presented, designed for a generic class of cameras (including conventional, catadioptric, and fisheye cameras).
Journal ArticleDOI
Indoor navigation of a non-holonomic mobile robot using a visual memory
TL;DR: The navigation framework for wheeled mobile robots presented in this paper is based on the assumption that a natural behavior consists on memorizing some key views along the performed path in order to use these references as checkpoints for a future navigation mission.
Proceedings ArticleDOI
Efficient hierarchical localization method in an omnidirectional images memory
TL;DR: A hierarchical process combining global descriptors computed onto cubic interpolation of triangular mesh and patches correlation around Harris corners is proposed, which shows the best compromise in terms of accuracy, amount of memorized data required per image and computational cost.
Navigation of a non-holonomic mobile robot with a memory of omnidirectional images
TL;DR: This paper proposes here to use an omnidirectional camera which significantly improves the localisation and navigation steps thanks to its large field of view andSimulations as well as real experimental results with an indoor robot illustrate the validity of the presented framework.