Visibility Distance Estimation based on Structure from Motion

Abstract : It is obvious to say that perception is necessary to drive. Futhermore we can say that a good visibility is a guaranty for passengers security. The driver will adapt the vehicle speed to the offered visibility. Strong visibility reductions (dense fog for instance) are conditions of risk of accident. We therefore propose here a method to perform an onboard estimation of the visibility distance. Once this estimate is obtained, assistance could be offered to the driver (eg if it runs at a speed not adapted to the current visibility) or to the road infrastructure management so that it can inform other users of risk on his road network. This method uses images acquired by an onboard camera filming the scene and the estimation of vehicle motion. Thus, from this information we will explain how we can achieve a spatial partial structure reconstruction to estimate the visibility distance.
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Communication dans un congrès
ICARCV'10 - 11th IEEE International Conference on Control Automation Robotics and Vision, Dec 2010, Singapour, Singapore. IEEE, pp 1416 - 1421, 2010, 〈10.1109/ICARCV.2010.5707416〉
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https://hal.archives-ouvertes.fr/hal-00559896
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Soumis le : mercredi 26 janvier 2011 - 16:45:08
Dernière modification le : lundi 12 novembre 2018 - 10:59:56

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Clément Boussard, Nicolas Hautiere, Brigitte D'Andréa-Novel. Visibility Distance Estimation based on Structure from Motion. ICARCV'10 - 11th IEEE International Conference on Control Automation Robotics and Vision, Dec 2010, Singapour, Singapore. IEEE, pp 1416 - 1421, 2010, 〈10.1109/ICARCV.2010.5707416〉. 〈hal-00559896〉

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