Rideos, Inc.

Thomas Kielbus

Christopher Blumenberg

Billy P Chen

Justin Wayne Ho

Rohan Paranjpe

A method includes of routing an autonomous vehicle includes receiving information obtained from a camera on a second vehicle distinct from the autonomous vehicle. The method includes automatically identifying a road condition using image analysis of the information received from the camera on the second vehicle. The method includes receiving a request to route the autonomous vehicle from a first location to a second location; and in response to the request: generating a cost model for routing the autonomous vehicle, wherein the cost model includes a cost of the road condition automatically identified from the information received from the camera on the second vehicle; selecting a route from the first location to the second location in accordance with the cost model; and routing an autonomous vehicle in accordance with the selected route.

System and method of overlaying real-time data onto an autonomous vehicle routing cost model

Systems and methods for routing a fleet of vehicles

A method includes generating a cost model for routing an autonomous vehicle. The cost model includes, for an intersection, a plurality of costs for distinct maneuvers through the intersection. The cost model is represented as a graph of nodes and edges, the edges having respective edge weights that represent costs in the cost model. Each edge of the representation of the intersection represents a respective maneuver through the intersection. The method further includes, in response to a request to route an autonomous vehicle: selecting a route in accordance with the cost model, wherein the selecting is based at least in part on one of the plurality of costs for the distinct maneuvers through the intersection; and routing the autonomous vehicle in accordance with the selected route.

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San Francisco, CA, United States of America

Thomas Kielbus