NDLI: Developing a near infrared based night vision system

Content Provider	IEEE Xplore Digital Library
Author	Bellotti, C. Bellotti, F. De Gloria, A. Andreone, L. Mariani, M.
Copyright Year	2004
Description	Author affiliation: Dept. of Electron. & Biophys. Eng., Genoa Univ., Italy (Bellotti, C.; Bellotti, F.; De Gloria, A.)
Abstract	Accidents occurring at night represent a significant part of the total number of road fatalities. Thus, intelligent systems for supporting the driver during night promise to have a significant impact on traffic safety. In particular, the second generation of such systems provide semantic, symbolic information in order to effectively draw the driver's attention towards the actual danger source. This paper describes the design choices and the system architecture of the EDEL project. Moreover, we present the algorithms we use for detection of pedestrians, which are frequently involved in accidents at night, and discuss early results. In particular, the implemented system provides recognition rates similar to the state of the art in daylight conditions, even if this requires a more in-depth analysis of the captured scene, with a consequent performance penalty in terms of response time.
Starting Page	686
Ending Page	691
File Size	840742
Page Count	6
File Format	PDF
ISBN	0780383109
DOI	10.1109/IVS.2004.1336467
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-06-14
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Night vision Consumer electronics Road accidents Safety Computer crashes Vehicles Sensor arrays Optical design Intelligent systems Performance analysis
Content Type	Text
Resource Type	Article

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