Abstract

International audience; Traditionally, national mapping agencies produced datasets and map products for a low number of specified and internally consistent scales, i.e. at a common level of detail (LoD). With the advent of projects like OpenStreetMap, data users are increasingly confronted [...]

Abstract

dvance Driver Assistance Systems designed to enhance safety require a perception module that should be reliable, robust and affordable. We propose a new cooperative fusion method between two exteroceptive sensors for the detection and tracking of obstacles. Focus is cast on the issue [...]

Abstract

International audience; 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 [...]

Abstract

Driver assistance systems based on camera are strongly disturbed by the presence of foggy weather. The restoration of images, as pre-processing, would improve the performances of such systems. In this paper, we propose a method to restore the image contrast of foggy road scenes combining [...]

Abstract

International audience; In this work, we investigate the use of OpenStreetMap data for semantic labeling of Earth Observation images. Deep neural networks have been used in the past for remote sensing data classification from various sensors, including multispectral, hyperspectral, [...]

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International audience; This paper presents a set of algorithms dedicated to the 3D modeling of historical buildings from a collection of old ar-chitecture plans, including floor plans, elevations and cut-offs. Image processing algorithms help to detect and local-ize main structures [...]

Abstract

International audience; ADAS (Advanced Driver Assistance Systems) algorithms increasingly use heavy image processing operations. To embed this type of algorithms, semiconductor companies offer many heterogeneous architectures. These SoCs (System on Chip) are composed of different [...]

Abstract

This paper proposes an improvement of Advanced Driver Assistance System based on saliency estimation of road signs. After a road sign detection stage, its saliency is estimated using a SVM learning. A model of visual saliency linking the size of an object and a size-independent saliency [...]