NDLI: Robust recognition of traffic signals

Content Provider	IEEE Xplore Digital Library
Author	Lindner, F. Kressel, U. Kaelberer, S.
Copyright Year	2004
Description	Author affiliation: Res. & Technol., Daimler-Chrysler AG, Ulm, Germany (Lindner, F.; Kressel, U.; Kaelberer, S.)
Abstract	In this paper a general system for real-time detection and recognition of traffic signals is proposed. The key sensor is a camera installed in a moving vehicle. The software system consists of three main modules: detection, tracking, and sample-based classification. Additional sensor information, such as vehicle data, GPS, and enhanced digital maps, or a second camera for stereo vision, are used to enhance the performance and robustness of the system. Since the detection step is the most critical one, different detection schemes are compared. They are based on color, shape, texture and complete-object classification. The color system, with a high dynamic range camera and precise location information of the vehicle and the searched traffic signals, offers valuable and reliable help in directing the driver's attention to traffic signals and, thus, can reduce red-light running accidents.
Starting Page	49
Ending Page	53
File Size	918278
Page Count	5
File Format	PDF
ISBN	0780383109
DOI	10.1109/IVS.2004.1336354
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	Robustness Vehicles Real time systems Software systems Sensor systems Global Positioning System Digital cameras Stereo vision Shape Dynamic range
Content Type	Text
Resource Type	Article

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