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Parallel and local feature extraction: a real-time approach to road boundary detection

机译:并行和局部特征提取:道路边界检测的实时方法

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Presents a system for the extraction of road boundaries from an image taken in an out-of-town environment. In this application, computational speed and performance play a fundamental role in the selection of the hardware platform and the design of algorithms. The algorithm has been designed to be implemented on a special-purpose mesh-connected SIR ID architecture, PAPRICA, which will be fitted to the vehicle. This presentation focuses on the algorithms and in particular on processing speed.
机译:提出了一种从城外环境中拍摄的图像中提取道路边界的系统。在此应用中,计算速度和性能在硬件平台的选择和算法设计中起着至关重要的作用。该算法已设计为在专用网状连接SIR ID架构PAPRICA上实现,该架构将安装在车辆上。本演示着重于算法,尤其是处理速度。

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