Gm Global Technolgoy Operations, Inc.

Sean Douglas Vermillion

Mason D Gemar

Daniel Taylor

Matthew Kelly Titsworth

Henry Warren Grasman

Najah Ghalyan

Kaydee Hartmann

Evan Stoddart

Vladimir Novikov

Elyas Sabeti

Rahul Patel

Rajesh Ayyalasomayajula

Andrea Rochelle Wharry

Joseph Jang

In exemplary embodiments, methods and systems are provided that include: obtaining, via telematics systems of a plurality of vehicles, vehicle telemetry data as the plurality of vehicles travel through one or more geographic regions; transforming, from a computer processor, the vehicle telemetry data into a geohash encoded format pertaining to the one or more geographic regions; identifying, via a processor, a plurality of road junctions using the vehicle telemetry data that is transformed into a geohashed encoding; identifying, via the processor, a plurality of road segments using the vehicle telemetry data that is transformed into a geohashed encoding for the one or more geographic regions; and generating, via the processor, a road network mapping for the one or more geographic regions that includes the plurality of road junctions and the plurality of road segments utilizing the vehicle telemetry data that is transformed into a geohashed encoding.

Road network mapping using vehicle telemetry data

A method for detecting road edges at a predetermined intersection, comprising: receiving, by the controller, aerial imagery data about the predetermined intersection; receiving, by the controller, vehicle telemetry data from at least one vehicle passing through the predetermined intersection; detecting, using the aerial imagery data and generative adversarial networks (GANs) executed on the controller, road edges at the predetermined intersection; classifying, using the vehicle telemetry data and a random forest classifier (RFC) executed on the controller, each vehicle trajectory passing through the predetermined intersection with a label corresponding to a unique maneuver to create a maneuver labeling at the predetermined intersection; constructing, using the maneuver labeling determined by the RFC and the road edges, a probabilistic finite state automata (PFSA) to pair inbound lanes with outbound lanes at the predetermined intersection; and determining lane edges at the predetermined intersection using a homotopy model.

System and method for detecting road and lane connections at intersections

A system for determining and presenting visual representations includes a receiving module configured to receive a set of coordinates representing one or more geographic locations of one or more features of interest, and an analysis module configured to define a region corresponding to the set of coordinates, the region having an extent based on a level of uncertainty associated with the one or more features of interest. The system also includes a visualization module configured to generate a visual representation of the defined region and present the visual representation on a map.

Uncertainty-based map visualizations for directing vehicles

Growing community of inventors

Austin, TX, United States of America

Sean Douglas Vermillion