The improvement of road safety is one of the main concerns for car manufacturers and automotive suppliers. Advanced Driver Assistance Systems (ADAS) are developed to detect critical or soon to be critical driving situations and improve safety in situations where the driver and the passengers could be in danger. Night driving, and in particular the bend negotiation, is one of these critical situations for which it is important to assist the driver. Lighting optimization is a good way to do so, provided that it doesn't disturb other drivers. Current High beam / Low beam automation systems are optimized for a straight line road. Camera parameters and particularly the field of view are defined in order to provide well adapted distance of detection for this situation. However, the case is different for very narrow curves. It can appear that a car is located inside the high beam of the equipped car and is not yet located inside the camera field of view because of the road geometrical shape. In this specific situation, there is a risk of discomfort glare for the on-coming driver. This paper presents a study related to short curvature radius cases. Based on Schmidt-Clausen & Bindel's and derived equations, this approach considers se-veral types of lighting strategies in specific driving situations and contexts. Theoretical study results are compared to real measurements made by reproducing at night the different cases. A tool using the real data of both ego and target cars headlamp beam shapes has been specifically developed and used for any curve a driver can be driving through in normal driving situations. We suggest a strategy to answer to the crucial need of Glare-free Lighting Automation systems.
Condition for non-glaring High beam / Low beam automation
Bedingungen für blendfreies automatisches Voll- und Abblendlicht
2009
15 Seiten, 15 Bilder, 8 Tabellen, 8 Quellen
Aufsatz (Konferenz)
Englisch
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