At footpath.ai, we are developing a cloud-based, scalable, and versatile sidewalk mapping pipeline with AI and computer vision powered by our proprietary street-level sidewalk view imagery. We are building a digital twin platform for walking infrastructure networks and assets, enabling organizations to understand the quality and connectivity of the sidewalk networks, assess their current gaps and future needs, and prioritize their planning and maintenance.
footpath.ai isn't just a database of walking infrastructure networks and assets. It provides a consistent, holistic, and global view of the sidewalk networks for a range of applications including infrastructure and asset management, liveable city planning, regulatory compliance assessment, metaverse, route planning for sidewalk robot deliveries, and many more.
We are building a large-scale and global dataset that contains high-resolution 360° sidewalk-level images with fine-grained semantic segmentation that enables detailed urban feature extraction with a focus on walkability and automated delivery robots' perception and localization.
We are developing AI-powered models to generate HD maps of sidewalk networks containing significantly more detailed information than those found in conventional maps including graph, physical and environmental factors.
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