Use of infrared vision in automotive industry has mainly focused on detection of pedestrians or animals at night or under
poor weather conditions. In those approaches, the road infrastructure behavior in infrared range has not been
investigated. So, research work was realized using numerical simulations associated with specific experiments in a fog
tunnel. The present paper deals with numerical simulations developed for both visible spectrum (visibility in fog) and
infrared vision applied to road infrastructure perception in foggy night conditions. Results obtained as a function of fog
nature (radiation or advection) are presented and discussed.
Various problems in different domains are related to the operation of the Human Visual System (HVS). This is notably the case when interest turns to the driver's visual perception and road safety in general. As we know, 90% of the information used by a driver is supplied to him by his visual system. That's why the Laboratoire Régional des Ponts et Chaussées d'Angers has developed a human visual signal capture system. This system is based on a CCD video camera
calibrated for luminance and chrominance which are the two physical magnitudes that make up the human visual signal. The first phase in the development is to adapt the spectral response of the optical system to the spectral characteristics of the human eye. Once the camera is adapted the second stage is calibration. This consists in transforming the graylevels registered by the camera into values of luminance and chrominance. The innovative feature of this system is the ability to record a single image containing the entire set of information carried by the visual signal. The framerate is 10 frames
per second which allows the camera to be carried inside a vehicle and to record images of road scenes exactly as the driver has actually perceived them. After recording, vision algorithms can be applied to these images in order to reproduce the physiological processes which take place on the retina or in the brain. These tools can then be used to evaluate visibility levels of roadway infrastructure, of public lighting, or the saliency of objects.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.