NDLI: Navigation as a Virtual Sensor for Enhanced Lighting Preview Control

Content Provider	IEEE Xplore Digital Library
Author	Lauffenburger, J.P. Bradai, B. Herbin, A. Basset, M.
Copyright Year	2007
Description	Author affiliation: UHA-MIPS Lab., Mulhouse (Lauffenburger, J.P.)
Abstract	The principal interest of currently available bending light systems using vehicle information (vehicle speed, steering wheel angle) is to adjust the beam orientation according to the driver's manoeuvres. However, this kind of lighting is not anticipative and does not take the global driving situations and contexts (bend, city, motorway ...) into account. The use of navigation systems can provide good anticipation results and information about the driving environment. This paper presents an active automotive lighting system using predictive navigation data. This approach concerns several types of lighting strategies according to the driving situations and contexts considered. The originality of this work relies on an event-based analysis of the driving situation carried out with the navigation as a virtual sensor. This solution provides complete information on the driving situation and not only nodes and shape points dependent data. For the headlights control, a control law using a continuous curvature path model is implemented. This curvature-oriented preview control technique ensures the required anticipation level as can be seen in the experimental results presented.
Starting Page	1
Ending Page	6
File Size	660168
Page Count	6
File Format	PDF
ISBN	1424410673
ISSN	19310587
DOI	10.1109/IVS.2007.4290082
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-06-13
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Navigation Lighting control Automotive engineering Vehicle driving Road safety Intelligent vehicles Shape Manufacturing Cities and towns Intelligent sensors
Content Type	Text
Resource Type	Article

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