When residents only rely on their subjective perception of the surrounding environment to select outdoor sports routes,it often leads to poor route selection.In order to solve the above problems,this paper proposes a method for selecting ur-ban outdoor sports routes guided by visual comfort.The method utilizes street view images as data support and combines the EfficientNet_B7 deep learning model to simulate user visual perception.It generates a wide range of road comfort,and selects outdoor sports routes with higher comfort based on this information.Finally,the paper provides practical applications and com-parative evaluations using three different outdoor sports themes.The research results demonstrate that the routes selected based on visual comfort have a good surrounding environment and overall higher comfort level.
关键词
视觉感知/路线选取/舒适度/街景影像/EfficientNet_B7模型
Key words
visual perception/route selection/comfort/street view imagery/EfficientNet_B7 model
维普
万方数据