Google Inc.

Waymo LLC

Daniel Jules Switkin

Brian Douglas Cullinane

Renaud-Roland Hubert

Jennifer Arden

Anne Kristina Aula

Dror Michael Marcus

Asaf Revach

David K Windmueller

Matthew Nirvan Sharifi

Dominik Roblek

Gheorghe Postelnicu

Annie Chen

Yaniv Bernstein

Matthew Wiseman

Benjamin Margolin

Anne Kristiina Aula

Aspects of the present disclosure relate to a vehicle for maneuvering a passenger to a destination autonomously. The vehicle includes one or more computing devices that receive a request for a vehicle from a client computing device. The request identifies a first location. The one or more computing devices also determine whether the first location is within a threshold outside of a service area of the vehicle. When the location is within the threshold distance outside of the service area of the vehicle, the one or more computing devices identify a second location within the service area of the vehicle where the vehicle is able to stop for a passenger and based on the first location. The one or more computing devices then provide a map and a marker identifying the position of the second location on the map for display on the client computing device.

Automatically requesting vehicles

Specifying unavailable locations for autonomous vehicles

A computer-implemented technique can receive, at a computing device, a uniform resource locator (URL) for a web page and an image. A number of pixels corresponding to a desired resolution for encoding the image is determined and the image is converted to a modified image having the desired resolution. The technique can then generate a two-dimensional barcode by: (i) generating first data representative of the modified image, (ii) appending the first data to either an end of the URL to obtain a first modified URL or after a terminator bit of the two-dimensional barcode, (iii) generating second data representative of the second modified URL or the URL, and (iv) generating third data representative of an error correction code (ECC) based on the first data and the second data, wherein the two-dimensional barcode is generated based on the first data, the second data, and the third data.

Techniques for generating customized two-dimensional barcodes

When attempting to establish a peer-to-peer connection, a computing device can quickly discover compatible devices, which are capable of exchanging content, and remember them. When a neighboring device is discovered during a scan, the computing device can determine whether the neighboring device is capable of sharing content. Once it is determine that the neighboring device can share content, the computing device can determine a history of previous connections with the neighboring device. The computing device can determine a priority for sharing content with neighboring device relative to other devices. The computing device can determine the priority based on the history of the neighboring device and the history of other devices so that the devices with a likelihood of new content receive a higher priority.

Methods and systems for efficient discovery of devices in a peer-to-peer network

In one aspect, the present subject matter is directed to a computer-implemented method for removing transient objects to synthesize an unobstructed image. The method includes receiving a plurality of images from a user. A most common value at a same pixel of each image is determined to infer pixels associated with a background of the images. A composition is generated from the received images, wherein the composition includes one of the pixels associated with the background of the images in place of a pixel associated with a foreground of at least one of the images.

Removing transient objects to synthesize an unobstructed image

A computer-implemented technique can receive, at a computing device, a uniform resource locator (URL) for a web page and a plurality of images. A number of pixels corresponding to a desired resolution for encoding the images determined and the images are converted to modified images having the desired resolution. The technique can then generate an animated two-dimensional barcode using a plurality of two-dimensional barcodes generated for the plurality of images, respectively. A specific two-dimensional barcode can be generated by: generating first data representative of the modified image and appending the first data to either an end of the URL to obtain a first modified URL or after a terminator bit of the two-dimensional barcode. The two-dimensional barcode can then be generated using the first and second data and third data representative of an error correction code (ECC) and that is based on the first data and the second data.

An audio recognition service recognizes an audio sample across multiple content types. At least a partial set of results generated by the service are returned to a client while the audio sample is still being recorded and/or transmitted. The client additionally displays the results in real-time or near real-time to the user. The audio sample can be sent over a first HTTP connection and the results can be returned over a second HTTP connection. The audio recognition service further processes check-in selections received from the client for content items indicated by the results. Responsive to receiving the check-in selections, the service determines whether a user is eligible for a reward. If the user is eligible, the service provides the reward.

Real-time audio recognition protocol

Growing community of inventors

Brooklyn, NY, United States of America

Daniel Jules Switkin