Intel Corporation

Nvidia Corporation

Justyna Zander

Igor Tatourian

Rita H Wouhaybi

Pawel Szymanski

Marek Zmuda

A semi-public blockchain maintained on one or more nodes in a map cloud platform comprises data for maintaining a global map of a predetermined geographic area. The blockchain also comprises a plurality of data records, where each data record is associated with an update to a global map. When a message associated with a map update to the global map is received, the nodes of the blockchain determine a consensus by evaluating the map update, where the evaluating comprises performing a plurality of proofs including a proof of location, a proof of iterations, a proof of physical delivery and a proof of safety. When consensus is attained and the map update is validated, a data record associated with the map update is generated and added to the blockchain with a timestamp and a link to prior data records in the blockchain.

Method and apparatus for enabling map updates using a blockchain platform

In some embodiments, the disclosed subject matter involves a system and method for dynamic object identification and environmental changes for use with autonomous vehicles. For efficient detection of changes for autonomous, or partially autonomous vehicles, embodiments may use a technique based on background removal and image subtraction which use motion detection rather than full object identification for all objects in an image. Road side units proximate to a road segment or virtual road side units in the cloud, other vehicles or mobile device (e.g., drones) are used to retrieve and store background images for a road segment, to be used by the autonomous vehicle. Other embodiments are described and claimed.

Detection of traffic dynamics and road changes in autonomous driving

Technologies for customized crowd-sourced update and validation include a computing device having a technical computing environment (TCE)-based engine that receives user information from one or more user devices, executes a TCE model with the user information to generate behavior data of the TCE model, and generates a software update for the TCE model based on the behavior data. The TCE model may be a model for an autonomous system such as a self-driving vehicle, and the software update may be a safety update for the autonomous vehicle. The user information may include sensor data, such as distance detection sensor data. The computing device may transmit an incentive such as a software update, feature update, or safety software update to the user devices. The computing device may also receive information associated with the TCE model from one or more developer devices. Other embodiments are described and claimed.

Technologies for customized crowd-sourced features, automated safety and quality assurance with a technical computing environment

A data processing system (DPS) provides protection for firmware. The DPS comprises (a) a host module comprising a management engine and (b) a security module in communication with the host module. The security module comprises a security coprocessor and a secret identifier for the security module. The DPS also comprises at least one machine-accessible medium comprising host firmware and security firmware. The host firmware, when executed by the management engine, enables to management engine to determine whether the security module is in communication with the host module, based on the secret identifier for the security module. The security firmware, when executed by the security coprocessor, enables the security coprocessor (a) to verify integrity of the host firmware and (b) to prevent the host module from booting with the host firmware in response to a determination that the host firmware has lost integrity. Other embodiments are described and claimed.

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Cupertino, CA, United States of America

Justyna Zander