Many approaches have been proposed for in-vehicle obstacle detection using stereovision. Unfortunately, computation cost is generally a limiting factor for all these methods, especially for systems using large baselines, as they need to explore a wide range of disparities. Considering this point, we propose a reliable three resolution framework, designed for real time operation, even with high resolution images and a large baseline.