Wall Ratio

Wall ratio, encompassing concepts like window-to-wall ratio (WWR) and the relative position of walls in indoor spaces, is a key parameter in various applications. Current research focuses on automated methods for determining these ratios, employing computer vision techniques like semantic segmentation for WWR estimation from images and wall-following algorithms coupled with sensor data (e.g., from drones or robots) for indoor localization and mapping. These advancements improve building energy modeling, enable efficient robot navigation and cooperation in confined spaces, and facilitate tasks such as vehicle inventory management in challenging environments. The resulting improvements in data acquisition and analysis have significant implications for building design, robotics, and logistics.