Nauto, Inc.

Adobe, Inc.

Piyush Chandra

Stefan Heck

Benjamin O Alpert

Tahmida Binte Mahmud

Ilan Hornstein

Alexander Dion Wu

Gary Kwan

Ruslan Belkin

Jeremy Marschke

Ajinkya Gorakhnath Kale

Oliver Brdiczka

Tracy Holloway King

Sourabh Goel

Abhishek Gupta

Nitin Kumar Garg

Feroz Ahmad

Deepika Naryani

Vikas Sagar

An apparatus includes: a first camera configured to view an environment outside a vehicle; a second camera configured to view a driver of the vehicle; and a processing unit configured to receive a first image from the first camera, and a second image from the second camera; wherein the processing unit is configured to determine first information indicating a risk of intersection violation based at least partly on the first image; wherein the processing unit is configured to determine second information indicating a state of the driver based at least partly on the second image; and wherein the processing unit is configured to determine whether to provide a control signal for operating a device or not based on (1) the first information indicating the intersection violation, and (2) the second information indicating the state of the driver.

Devices and methods for predicting intersection violations and/or collisions

An apparatus includes: a first camera configured to view an environment outside a vehicle; a second camera configured to view a driver of the vehicle; and a processing unit configured to receive a first image from the first camera, and a second image from the second camera; wherein the processing unit is configured to determine first information indicating a risk of collision with the vehicle based at least partly on the first image; wherein the processing unit is configured to determine second information indicating a state of the driver based at least partly on the second image; and wherein the processing unit is configured to determine whether to provide a control signal for operating a device or not based on (1) the first information indicating the risk of collision with the vehicle, and (2) the second information indicating the state of the driver.

Devices and methods for predicting collisions and/or intersection violations

The present disclosure relates to systems for identifying instances of natural language input, determining intent classifications associated with instances of natural language input, and generating responses based on the determined intent classifications. In particular, the disclosed systems intelligently identify and group instances of natural language input based on characteristics of the user input. Additionally, the disclosed systems determine intent classifications for the instances of natural language input based message queuing in order to delay responses to the user input in ways that increase accuracy of the responses, while retaining a conversational aspect of the ongoing chat. Moreover, in one or more embodiments, the disclosed systems generate responses utilizing natural language.

Accuracy of natural language input classification utilizing response delay

Growing community of inventors

Belmont, CA, United States of America

Piyush Chandra