Stochastic Graph Minor Generation via Dynamic Reference to Geographics Annotation

Abstract: A stochastic-computational scheme is presented for generating as-is graph structure spanning complex local geographics. In this schematics, GPS tracks uploaded by a multitude of probe vehicles are exploited to expand a network of feasible roadway patterns. By associating the GPS tracks with a multitude of Brownian motions conditioned by landmark allocation, the graph structure is successively augmented in terms of feasible roadway segments. In reference to the augmented information, symbolic design of over-the-horizon maneuvering process can be interactively substantiated into a chain of topological minors grounded on the local geographics.