Road-Type Detection Based on Traffic Sign and Lane Data
نویسندگان
چکیده
Establishing the current road type constitutes a significant assistance to car drivers, as, by default, determines legal speed limit. Although there are GPS- and map-based navigation systems that can retrieve actual limit some even access indicate traffic volumes, it was our aim develop test software prototype of road-type detection (RTD) system relies solely on video sensor data collected board. Such still work during GPS signal outages. The study presents heuristic approach RTD is based distance relating control devices (TCDs) installed along road. used an ego vehicle with on-board smart camera looking ahead number vehicular sensors. A complex processing step—not detailed in study—detects TCDs reasonable probability error rate locates them respect 3D coordinate frame fixed vehicle. takes describing detected as its input. This then evaluated multiscale manner computing empirical statistics occurrences over short, medium, long patches evaluation carried out conjunction each considered type, resulting values compared respective reference values. Heuristics decision-making resolve any interscale interroad-type disaccords. proposed decision rules take into account possibility having been missed faulty detections. Short preprocessed synchronised sequences recorded different countries environments were for testing system. These short carefully strung together coherent chains. Distance-based recognition precisions 78.9% 88.9% gained European (continental) UK roads, respectively.
منابع مشابه
Road traffic sign detection and classification
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ACKNOWLEDGEMENTS First, I would like to thank my supervisor Professor H. Levent Akın for his guidance. This thesis would not have been possible without his encouragement and enthusiastic support. I would also like to thank all the staff at the Artificial Intelligence Laboratory for their encouragement throughout the year. Their success in RoboCup is always a good motivation. Sharing their preci...
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ژورنال
عنوان ژورنال: Journal of Advanced Transportation
سال: 2022
ISSN: ['0197-6729', '2042-3195']
DOI: https://doi.org/10.1155/2022/6766455