Volkswagen Group of America Investments, LLC

Big Switch Networks, Inc.

Argo Ai Gmbh

Jason Parraga

Shubhashree Venkatesh

Sebastian Dovenor

Noe Brito

Jonathan Pan

Madhav Chhura

Yee-Ning Cheng

John Drake

Scott Plant

Shudong Zhou

Robert Wesley Sherwood

Gregor Maier

Scott Anthony Plant

R Kyle Forster

Carl D Roth

Andreas Wundsam

Tomasz Klimczyk

Cham Ho Li

Jeffrey Townsend

Robert W Sherwood

Methods and systems for generating a planned path for a vehicle are disclosed. Upon receiving a trip service request, a processor will access a data store containing multiple candidate motion planning systems, each of which is associated with at least one vehicle or fleet. The processor will identify a starting point and a destination for the trip service request, and it will use an identifier for the vehicle or its fleet to select, from the candidate systems, a motion planning system. The processor will use the functions of the selected motion planning system to generate candidate trajectories for the first vehicle from the starting point to the destination in a high definition map. The processor will select a planned route from the candidate trajectories, and it will output trip instructions to cause the vehicle to move along the planned route.

System and method for generating a planned path for a vehicle using a cloud deployment system

Methods and systems that use a phantom vehicle to help generate a planned path for a real-world vehicle are described. The system will identify a starting point and a destination for a trip of the real-world vehicle. The system will select, from the data store of vehicle profiles, a phantom vehicle having an associated motion planning system that corresponds to a system that is deployed on the real-world vehicle. The system will use a high definition map to generate a planned route for the real-world vehicle from the starting point to the destination in the map. The system will run a simulation in which the phantom vehicle moves along the planned route in the map. The system will then output a record of the simulation to a user of the real world-vehicle or to a system of the real-world vehicle.

System and method for generating a planned path using a phantom vehicle

Methods and systems for estimating a time of arrival for a vehicle at a destination are disclosed. The system will access an adjacency graph comprising nodes and edges. Each node is associated with a unique location in a geographic area in which the vehicle is traveling. Each edge connects two of the nodes and is associated with an estimated travel time between the two connected nodes. The system will select, from the locations in adjacency graph, a first location that is near the vehicle and a second location that is near the destination. The location and destination are each associated with nodes in adjacency graph. The system will calculate a shortest path along the edges in the adjacency graph from the location and destination nodes, and it will calculate an estimated time of arrival for the vehicle as a function of the estimated travel times along the shortest path.

System and method for estimating arrival time of a vehicle at a destination

Systems and methods for managing permissions and authorizing access to a service supported by a computing device. The methods comprise by a computing device: intercepting a request to access the service sent along with a certificate including a first tenant identifier (the first tenant identifier identifying a first business entity other than a second business entity providing the service); using the first tenant identifier to obtain permission information from a datastore (the permission information specifying which resources of a plurality of resources can be returned in response to requests from the first business entity); generating a web authentication token including the first tenant identifier and the permission information; and initiating operations of the service in response to a validation of the web authentication token.

Systems and methods for managing permissions and authorizing access to and use of services

Methods, systems, and computer programs are presented for creating a secure network fabric and for adding trusted devices to an existing secure network fabric. One method includes an operation for setting a switch into a provisioning mode where the switch does not enforce secure communications. While the switch is in provisioning mode, the method performs operations including establishing a connection from the switch to a provisioning controller, sending a certificate signing request (CSR) from the switch to the provisioning controller, and receiving, from the provisioning controller, a security certificate generated by a certificate authority. The method further includes an operation for entering a lockdown mode by the switch after receiving the security certificate, where the switch, while in lockdown mode, secures communications utilizing the security certificate.

Systems and methods to securely construct a network fabric

A controller may control switches such as physical and software switches in a network. The controller may generate virtual switches from groups of end hosts in forming a virtual network topology. The controller may receive one or more network policy rules that govern network traffic through the switches. For a given network policy rule, the controller may perform a test in determining whether the network satisfies the network policy rule. The test may be performed based on a testing rule identifying test parameters and expected test results. The controller may perform tests in determining whether the network satisfies the testing rule and the corresponding network policy rule. The tests may be performed via simulation at the controller or by injecting a tagged test packet into the network.

Systems and methods for testing networks with a controller

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Fremont, CA, United States of America

Jason Parraga