An embedded multi-modal system for object localization and tracking

Abstract

Reliable obstacle detection and localization is a key issue for driver assistance systems, particularly in urban environments. In this study a multi-modal perception approach is investigated, the objective being to enhance vehicle localization and dynamic object tracking in a world-centric map. A 3D ego-localization is achieved by merging information from a… (More)
DOI: 10.1109/IVS.2010.5548017

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Cite this paper

@article{Florez2010AnEM, title={An embedded multi-modal system for object localization and tracking}, author={Sergio Alberto Rodriguez Florez and Vincent Fr{\'e}mont and Philippe Bonnifait and V{\'e}ronique Berge-Cherfaoui}, journal={IEEE Intelligent Transportation Systems Magazine}, year={2010}, volume={4}, pages={42-53} }