A parallel system for real–time traffic sign recognition
نویسندگان
چکیده
We present a system for the real–time recognition of traffic signs from a moving car on European highways. The traffic sign recognition system (TSR) was developed within the European PROMETHEUS project in cooperation with Daimler–Benz and is installed in an autonomous car. Our TSR is also intended to serve as a driver assistance tool. The TSR is based on a fast color image analysis. This analysis involves different methods, such as an inherently parallel color image segmentation, a data–driven decision graph with fuzzy techniques, and classical pattern recognition. Due to the good quality of the color segmentation and the fault–tolerant evaluation the system is highly robust against the difficult conditions in natural outdoor scenes. To meet real–time constraints the TSR has been implemented on a high speed parallel image processing system with MPC 601 processors. A prototype of the TSR runs in a usual car and reaches a recognition rate of 98 %.
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A Real Time Traffic Sign Detection and Recognition Algorithm based on Super Fuzzy Set
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