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The design and the implementation of algorithms on FPGA-based architectures, is a complex task, above all for image processing. Many vision applications (video monitoring, obstacle detection from a vehicle) require real time performance. This paper analyzes only a classical function involved in these applications: pixel characterization by an attribute(More)
—In this work, we present the implementation in a reconfigurable architecture of a dense stereo vision algorithm based on census transform. Analyzing census transform algorithm we found that size and access memory could be reduced, which consequently also reduced the latency time. Furthermore, architecture resources are optimized and efficient thanks to(More)
This paper describes an architecture dedicated to the realtime processing of census correlation in the context of the realization of passive stereovision sensors. Although DSP circuits have dramatically increased their performances in terms of frequency (about 600 MHz today), DSP cores (several Multipliers Accumulators) and pipelines (Super Harvard(More)
This article presents a reconfigurable architecture to calculate a dense disparity map of two stereo images based on census transform. This architecture is simplified and efficient as a result of binary operations and integer arithmetic used by census transform. Our architecture was prototyped using GAUT which is a practical tool to develop high-level(More)
En raison de l'augmentation du volume et de la complexité des systèmes de transport, de nouveaux systèmes avancés d'assistance à la conduite (ADAS) sont étudiés dans de nombreuses entreprises, laboratoires et universités. Ces systèmes comprennent des algorithmes avec des techniques qui ont été étudiés au cours des dernières décennies, comme la localisation(More)
This paper presents the implementation of real time Inverse Perspective Mapping algorithms on a FPGA. The IPM is a spatiotemporal algorithm that allows the detection of obstacles from two images I<sub>1</sub> and I<sub>2</sub>, either acquired by a moving camera, or by a stereoscopic sensor, knowing the relative positions between the two view points. In the(More)
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