Intel Corporation

Lindsey Kuper

Justin E Gottschlich

Abhishek R Appu

Joydeep Ray

Altug Koker

Elmoustapha Ould-Ahmed-Vall

Prasoonkumar Surti

Balaji Vembu

Linda L Hurd

Ben J Ashbaugh

Chandrasekaran Sakthivel

Michael S Strickland

Liwei Ma

Javier Sebastian Turek

Brian T Lewis

Barath Lakshmanan

Jingyi Jin

Naila Farooqui

Barath Lakshamanan

An autonomous vehicle is provided that includes one or more processors configured to provide a local compute manager to manage execution of compute workloads associated with the autonomous vehicle. The local compute manager can perform various compute operations, including receiving offload of compute operations from to other compute nodes and offloading compute operations to other compute notes, where the other compute nodes can be other autonomous vehicles. The local compute manager can also facilitate autonomous navigation functionality.

Autonomous vehicle advanced sensing and response

One embodiment provides for a computing device within an autonomous vehicle, the compute device comprising a wireless network device to enable a wireless data connection with an autonomous vehicle network, a set of multiple processors including a general-purpose processor and a general-purpose graphics processor, the set of multiple processors to execute a compute manager to manage execution of compute workloads associated with the autonomous vehicle, the compute workload associated with autonomous operations of the autonomous vehicle, and offload logic configured to execute on the set of multiple processors, the offload logic to determine to offload one or more of the compute workloads to one or more autonomous vehicles within range of the wireless network device.

Disclosed in some examples are methods, systems, and machine readable mediums for assessing the accuracy of one or more local sensors on a mobile device (such as an AV). In some examples, the accuracy of a local sensor of a first AV may be assessed by periodically comparing sensor readings collected by the local sensor to sensor readings matching selection criteria that are collected by one or more remote sensors located at one or more other nearby AVs. A sensor that reports data that is signifimaytly different from that reported by neighboring AVs is likely to be malfunctioning. The use of nearby sensors in nearby AVs may provide for a method for ensuring the integrity of the AV sensor readings without adding redundant sensors.

Detecting mobile device sensor malfunctions

Growing community of inventors

Santa Clara, CA, United States of America

Lindsey Kuper