Semantic mapping extension for OpenStreetMap applied to indoor robot navigation
Published: May 1, 2019
Abstract
In this work a graph-based, semantic mapping approach for indoor robotics applications is presented, which is extending OpenStreetMap (OSM) with robotic-specific, semantic, topological, and geometrical information. Models are introduced for basic indoor structures such as walls, doors, corridors, elevators, etc. The architectural principles support composition with additional domain and application-specific knowledge. As an example, a model for...
Paper Details
Title
Semantic mapping extension for OpenStreetMap applied to indoor robot navigation
Published Date
May 1, 2019
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