Cisco Technology, Inc.

Pony Ai Inc.

Jun Zhou

Tianying Fu

Venkat Narayan Srinivasan

Provided herein are methods for calibrating a camera. The method may include capturing an image that includes at least a traffic sign. The location of the traffic sign using the image may then be determined, which may include taking as input the location and direction of the vehicle and the location and the direction of the camera relative to the vehicle. The method may also include obtaining an actual location of the traffic sign. The camera may be determined to require recalibration if the determined location is different from the actual location.

System and method for calibrating on-board vehicle cameras

Embodiments disclosed facilitate distributed orchestration and deployment of a single instance of a distributed computing application over a plurality of clouds and container clusters, including container clusters provided through a Container as a Service (CaaS) offering. In some embodiments, system and pattern constructs associated with a hybrid distributed multi-tier application may be used to obtain an infrastructure independent representation of the distributed multi-tier application. The infrastructure independent representation may comprise a representation of an underlying pattern of resource utilization of the application. Further, the underlying pattern of resource utilization of the application may be neither cloud specific nor container cluster specific. In some embodiments, a single instance of the hybrid distributed multi-tier application may be deployed on a plurality of cloud infrastructures and on at least one container cluster, based, in part, on the cloud-infrastructure independent representation of the application.

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Mountain View, CA, United States of America

Jun Zhou