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Vision-Based Traffic Sign Detection and Analysis for Intelligent Driver Assistance Systems: Perspectives and Survey

机译：基于视觉的智能驾驶辅助系统交通标志检测与分析：视角与调查

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Andreas Møgelmose; Mohan Manubhai Trivedi; Thomas B. Moeslund;
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年度 2013
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1. Vision-Based Traffic Sign Detection and Analysis for Intelligent Driver Assistance Systems: Perspectives and Survey [J] . Mogelmose A., Trivedi M. M., Moeslund T. B. Intelligent Transportation Systems, IEEE Transactions on . 2012,第4期

机译：智能驾驶员辅助系统的基于视觉的交通标志检测和分析：观点和调查
2. DETECTION OF TRAFFIC SIGNS BASED ON EIGEN-COLOR MODEL AND SALIENCY MODEL IN DRIVER ASSISTANCE SYSTEMS [J] . J. B. KIM International Journal of Automotive Technology . 2013,第3期

机译：基于特征颜色模型和显性模型的驾驶员辅助系统交通标志检测
3. A Vision-Based Driver Nighttime Assistance and Surveillance System Based on Intelligent Image Sensing Techniques and a Heterogamous Dual-Core Embedded System Architecture [J] . Chuan-Ming Liu, Chuan-Yen Chiang, Hsin-Han Chiang, Sensors . 2012,第3期

机译：基于智能图像传感技术和异质双核嵌入式系统架构的基于视觉的驾驶员夜间辅助监控系统
4. Vision-based lane detection and tracking for driver assistance systems: A survey [C] . Hui Zhou, Han Wang 2017 IEEE International Conference on Cybernetics and Intelligent Systems and IEEE Conference on Robotics, Automation and Mechatronics . 2017

机译：驾驶员辅助系统基于视觉的车道检测和跟踪：一项调查
5. Using GPS/GIS to evaluate safety performance of fleet drivers based on drivers' compliance with traffic signs. [D] . Wang, Bin. 2004

机译：使用GPS / GIS根据驾驶员对交通标志的遵守情况来评估车队驾驶员的安全性能。
6. A Vision-Based Driver Nighttime Assistance and Surveillance System Based on Intelligent Image Sensing Techniques and a Heterogamous Dual-Core Embedded System Architecture [O] . Yen-Lin Chen, Hsin-Han Chiang, Chuan-Yen Chiang, 2012

机译：基于智能图像传感技术和异质双核嵌入式系统架构的基于视觉的驾驶员夜间辅助监控系统
7. Vision based Traffic Sign Detection and Analysis for Intelligent Driver Assistance Systems:Perspectives and Survey [O] . Møgelmose, Andreas, Trivedi, Mohan M., Moeslund, Thomas B. 2012

机译：基于视觉的智能驾驶辅助系统交通标志检测与分析：视角与调查

Vision-Based Traffic Sign Detection and Analysis for Intelligent Driver Assistance Systems: Perspectives and Survey

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