# A Real-Time Navigation Architecture for Automated Vehicles in Urban Environments

1 E-MOTION - Geometry and Probability for Motion and Action
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes
Abstract : This paper presents a novel navigation architecture for automated car-like vehicles in urban environments. Motion safety is a critical issue in such environments given that they are partially known and highly dynamic with moving objects (other vehicles, pedestrians). The main feature of the navigation architecture proposed is its ability to make safe motion decision in real-time, thus taking into account the harsh constraints imposed by the type of environments considered. The architecture is based upon an efficient publish/subscribe-based middleware system that allows modularity in design and the easy integration of the key functional components required for autonomous navigation: perception, localization, mapping, real-time motion planning and motion tracking. After an overall presentation of the architecture and its main modules, the paper focuses on the motion'' components of the architecture. Experimental results carried out on both a simulation platform and a Cycab vehicle in a parking environment are presented.
Type de document :
Communication dans un congrès
IEEE Intelligent Vehicles Symposium, Jun 2007, Istanbul (TR), 2007
Domaine :

Littérature citée [18 références]

https://hal.inria.fr/inria-00140528
Contributeur : Thierry Fraichard <>
Soumis le : vendredi 6 avril 2007 - 16:10:41
Dernière modification le : jeudi 11 janvier 2018 - 06:20:04
Document(s) archivé(s) le : mardi 6 avril 2010 - 22:48:12

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IV2007_0231_FI.pdf
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• HAL Id : inria-00140528, version 1

### Citation

Gang Chen, Thierry Fraichard. A Real-Time Navigation Architecture for Automated Vehicles in Urban Environments. IEEE Intelligent Vehicles Symposium, Jun 2007, Istanbul (TR), 2007. 〈inria-00140528〉

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