Volkswagen Group of America Investments, LLC

Parul Kothari

Hatem Alismail

John Drake

Noe Brito

Timothy James Douglas

Juanqui Yu

Peter Hoang

Karson Stone

Vicente Quinones

Han Nguyen

Disclosed herein are systems, methods, and computer program products for generating and using map information. For example, the method includes: identifying data collection mission area(s) (DCMAs) within a geographic location that is to be covered by robotic device(s) during a data collection mission (DCM); generating a route to be traversed by robotic device(s) in DCMAs (the route being configured to cause robotic device(s) to traverse each two-way road at least one time in two opposing directions); causing robotic device(s) to perform DCM by following the route and collecting data; causing robotic device(s) to discontinue collecting data in response to a trigger event; and using the data collected during DCM to generate or update the map information. The map information may be used to facilitate controlled movement of a vehicle.

Systems and methods for performing data collection missions

Methods and systems for determining whether a camera of an autonomous vehicle (AV) is calibrated are disclosed. The method includes determining a relative positional range for a calibration target with respect to the AV, capturing a plurality of images of the calibration target, using the camera when the calibration target and the AV are positioned within the relative positional range, measuring a camera-based calibration factor and a motion-based validation factor based on the plurality of images for generating a confidence score, and generating a signal indicating that the camera is not calibrated when the confidence score is below a threshold.

Systems and methods for autonomous vehicle sensor calibration and validation

This document discloses system, method, and computer program product embodiments for preparing a fleet of vehicles for service. For example, the method includes receiving: a set of mission types, a set of mission requests, vehicle information related to vehicles of a fleet, and personnel information. The method further includes applying the set of mission types and the set of mission requests to one or more priority engines to produce a prioritized list of mission requests. The method further includes applying the received vehicle information, the received personnel information, and the prioritized list of mission requests to one or more rules engines to produce a proposed schedule of missions for a period of time, generating software and/or map data for one or more of the vehicles, and providing the generated software and/or map data to the vehicles prior to the period of time.

Method for autonomous vehicle resource allocation and scheduling

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New York, NY, United States of America

Parul Kothari