Shaded Route Planning Using Active Segmentation and Identification of Satellite Images
Pages 5205 - 5209
Abstract
Heatwaves pose significant health risks, particularly due to prolonged exposure to high summer temperatures. The large vulnerable groups, especially pedestrians and cyclists on sun-exposed sidewalks, motivate the development of a route planning method that incorporates somatosensory temperature effects through shade ratio consideration. This paper is the first to introduce a pipeline that utilizes segmentation foundation models to extract shaded areas from high-resolution satellite images. These areas are then integrated into a multi-layered road map, enabling users to customize routes based on a balance between distance and shade exposure, thereby enhancing comfort and health during outdoor activities. Specifically, we construct a graph-based representation of the road map, where links indicate connectivity and are updated with shade ratio data for dynamic route planning.
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Index Terms
- Shaded Route Planning Using Active Segmentation and Identification of Satellite Images
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Published: 21 October 2024
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