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SYSTEMS AND METHODS OF A COMPUTATIONAL FRAMEWORK FOR A DRIVER'S VISUAL ATTENTION USING A FULLY CONVOLUTIONAL ARCHITECTURE
SYSTEMS AND METHODS OF A COMPUTATIONAL FRAMEWORK FOR A DRIVER'S VISUAL ATTENTION USING A FULLY CONVOLUTIONAL ARCHITECTURE
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机译：基于全卷积架构的驾驶员视觉注意力计算框架的系统和方法
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摘要
Systems and methods for estimating a saliency of one or more targets of a drive scene are provided. In some aspects, the system includes a memory that stores instructions for executing processes for estimating the saliency of the one or more targets of the drive scene. The system further includes a processor configured to execute the instructions. In various aspects, the processes include generating a Bayesian framework to model visual attention of a driver, the Bayesian framework comprising a bottom-up saliency element and a top-down saliency element. In various aspects, the processes also include generating a fully convolutional neural network, based on the Bayesian framework, to generate a visual saliency model of the one or more targets in the driving scene. In further aspects, the processes include outputting the visual saliency model to indicate features that attract attention of the driver.
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