基于视觉舒适度的城市户外运动路线选取方法与应用

Method and Application of Urban Outdoor Sports Route Selection Guided by Visual Comfort

为避免户外运动路线选取仅依赖个人主观认知而导致效果不佳问题,该文提出一种基于视觉舒适度的城市户外运动路线选取方法。该方法基于街景影像数据和EfficientNet_B7深度学习模型模拟用户视觉感知,生成大范围的道路舒适度,据此选择舒适度较高的路线。最后,以3种不同户外运动主题为例进行实际应用和对比评价,结果表明,基于视觉舒适度选取的户外运动路线周边环境良好,整体舒适度更高。

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 urban 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 comparative 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.