Saliency map based analysis for prediction of car driving difficulty in Google street view scenes

The paper describes how the saliency maps – computational models of visual attention can be used to predict car driving difficulty. The peak number and areas are analyzed for the images are obtained from Google Street View. As a ground truth the crowd sourced average human responses on the speed and subjective driving difficulty are used.

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