Amazon Technologies, Inc.

Erik Resch Parker

Marshall Friend Tappen

Darren Ernest Canavor

Allan Scott Bathurst

Hilliard Bruce Siegel

Jules Cook Graybill

Jonathan Blair Norwood

Pragyana K Mishra

Wesley Scott Lauka

James Christopher Curlander

Ryan Scott Russell

Udit Madan

Kenneth C Macfarlane

Trent Allie

Andrew Michael Johnson

Disclosed are various embodiments for implementing passenger profiles for autonomous vehicles. A passenger of the autonomous vehicle is identified. A passenger profile corresponding to the passenger and comprising a passenger preference is identified. The passenger preference is identified. A configuration setting of the autonomous vehicle corresponding to autonomous operation of the autonomous vehicle is then adjusted based at least in part on the passenger preference.

Passenger profiles for autonomous vehicles

Techniques are described for providing fault tolerance for wireless communications in a wireless network (e.g., wireless local area network (LAN)). A client establishes a first connection with a first access point (AP) of multiple APs via first radio of the client and a second connection with a second AP of the multiple APs via a second radio of the client. The first AP and the second AP are connected to the same wireless LAN. Data associated with a communication session is communicated via the first and second connections. In response to detecting that the second connection satisfies one or more criteria, a third connection is established with a third AP of the multiple APs via the second radio of the client.

Software defined wireless local area network for fault tolerance

Disclosed are various embodiments for obtaining environmental data and operational data from autonomous vehicles in a roadway. A vehicle state of the autonomous vehicles can be updated using data that is obtained from nearby vehicles or other vehicles that are on the roadway. The roadway management system can also generate updates to the vehicle state based upon data obtained from sources external to autonomous vehicles.

Generating state information for autonomous vehicles

A video-based monitoring and image post-processing system may include a plenoptic camera that has multiple mirrors in its field of view. The plenoptic camera may capture four-dimensional light-field information for multiple images of its field of view and may embed that information in image data sent to a local or backend server for post-processing. An image processing application on the server may extract image data for pixels that collectively represent one of the mirrors, and apply a focusing operation on the extracted image data to generate a video stream of a virtual camera represented by the mirror, dependent on the image information and the distance between the mirror and the camera. The application may correct distortions due to the curvature of the mirror. The system may provide video monitoring in areas without a single line of sight without the need for a large number of expensive cameras.

Video monitoring using plenoptic cameras and mirrors

Disclosed are various embodiments for non-mechanical assistance for autonomous vehicles. An unknown environmental condition may be detected that affects a navigation of the autonomous vehicle. A passenger and/or other source may be presented an inquiry requesting identification of the unknown environmental condition. A response to the inquiry may be used as an input by the vehicle control system in determining appropriate navigation of the autonomous vehicle.

Environmental condition identification assistance for autonomous vehicles

A video-based monitoring system may dynamically adjust the resolution or frame rate of video cameras in a materials handling facility in response to changing conditions or events. The resolution or frame rate may be increased when an agent authorized to handle high-value items (e.g., expensive items or those at high risk of being stolen) enters the field of view of a given camera in the facility. The system (or a video camera thereof) may detect the presence of the authorized agent by detecting that his clothing or equipment includes a color or pattern designating such authorization using analytics applied to a video stream captured by the camera. Other pre-defined conditions or events indicating that higher-resolution video monitoring is warranted may trigger an increase in the resolution or frame rate of a camera. The resolution or frame rate may be decreased when these conditions or events no longer apply.

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Snohomish, WA, United States of America

Erik Resch Parker