Intel Corporation

Omar Ulises Florez Choque

Jennifer Anne Healey

Glen J Anderson

Rita H Wouhaybi

Jonathan J Huang

Lama Nachman

Lenitra M Durham

Sangita R Sharma

Chieh-Yih Wan

Rebecca Chierichetti

Andrea E Johnson

Disclosed in some examples, are devices, methods, systems, and machine readable mediums that provide for automated goods exchange between autonomous vehicles while the autonomous vehicles are still in motion. This may be used to efficiently ship packages long distances as well as to transfer goods to consumers. This allows shippers to transfer goods from one truck to another without having to stop and unload the truck, decreasing costs by limiting human involvement and improving efficiency. Likewise, mobile merchants, such as food trucks, may sell to consumers in cars without having to stop to perform the exchange, increasing the convenience to consumers.

Autonomous mobile goods transfer

A system and method performed by a sensor testing apparatus of a vehicle are provided for determining when certain event conditions are true. The event conditions comprise detecting an occurrence of a predefined event that impacts a sensor of the vehicle. After the predefined event is detected, a test is performed to determine whether the sensor is outputting sensor values within sensor specification values. When the event conditions are true, the method includes testing the sensor relative to a reference to determine when the sensor is operating within reference criteria to produce a positive reference testing result. When the reference testing result is positive, the method directs the vehicle to return to normal operation, and otherwise directs the vehicle to be serviced.

System and method for post-accident vehicle sensor testing

In some embodiments, the disclosed subject matter involves identifying environmental factors and user context that affect sleep quality. Embodiments use information about the static sleep environment, as well as dynamic environmental factors, such as sound, light, movement, correlated with user context, such as physical and emotional state, as well, as recent behavior to classify sleep data. The correlated and classified sleep data may be used to provide change recommendations, where implementing the recommended change is believed to improve the user's sleep quality. Other embodiments are described and claimed.

Sleep and environment monitor and recommendation engine

Growing community of inventors

Sunnyvale, CA, United States of America

Omar Ulises Florez Choque