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Future Computer Vision Algorithms for Traffic Sign Recognition Systems

机译:交通标志识别系统的未来计算机视觉算法

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For the assistance of drivers and for autonomous vehicles an automatic recognition of traffic signs is essential. Today's traffic sign recognition systems are focusing on circular signs. Because speed limit signs are circular and because the recognition of speed limit signs deliver a high customer benefit, such systems have been realized primarily in series production. But for traffic sign recognition there are still many challenges to be tackled. This contribution presents how research and intelligent development of computer vision algorithms will enable much more advanced traffic sign recognition systems on embedded systems by reducing processing time while simultaneously enlarging functionality. The result is a reduction of hardware cost and energy consumption.
机译:为了帮助驾驶员和自动驾驶汽车,交通标志的自动识别是必不可少的。当今的交通标志识别系统专注于圆形标志。由于限速标志是圆形的,并且由于限速标志的识别可带来很高的客户利益,因此此类系统主要是在批量生产中实现的。但是对于交通标志识别,仍然有许多挑战需要解决。这一贡献展示了计算机视觉算法的研究和智能开发如何通过减少处理时间并同时扩大功能来实现嵌入式系统上更高级的交通标志识别系统。结果是降低了硬件成本和能耗。

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