2005 · 78 citations · 7 references
ComputingComputer EngineeringComputer ScienceAutonomous VehiclesComputer VisionReal-time SystemsIntelligent Transportation SystemsPattern RecognitionReal-time Visual SystemsTraffic EngineeringTraffic Sign RecognitionVehicle PerceptionData Transformation PipelinesEmbedded Software ArchitectureParallel Hybrid ArchitectureReal-time ProcessingReal-time Traffic Sign RecognitionShape-based Traffic Sign RecognitionTraffic Sign DetectionTraffic Sign Recognition In Autonomous Driving
The ability of recognising traffic signs in a road traffic scenario is an important feature of the Daimler-Benz autonomous vehicle VITA II. This real-time vision-based traffic sign recognition system has been developed by Daimler-Benz in the European research project PROMETHEUS. In this paper we focus on the overall system design, the real-time implementation, and field test evaluation. The software architecture of the system integrates three hierarchical levels of data processing. On each level the specific tasks are isolated. The lowest level comprises specialists for colour, shape and pictogram analysis; they perform the iconic to symbolic data transformation. On the highest level the administration processes organise data flow as a double bottom-up and top-down mechanism to dynamically interpret the image sequence. A hybrid parallel machine was designed for running the traffic sign recognition system in real time on a transputer network coupled to powerPC processors.
7
Hybrid Approach For Traffic Sign Recognition
Reinhard Janssen, Walter Ritter, Fridtjof Stein et al. · 2005 · 52 citations
An adaptive system for traffic sign recognition
Yong-Jian Zheng, Walter Ritter, Reinhard Janssen · 2005 · 45 citations
Traffic sign recognition in color image sequences
Walter Ritter · 2003 · 28 citations