Nauto, Inc.

Tahmida Binte Mahmud

Benjamin O Alpert

Stefan Heck

Ilan Hornstein

Alexander Dion Wu

Piyush Chandra

Mohammad Saad Billah

Jeremy Marschke

Gary Kwan

Ruslan Belkin

Shukui Zhang

Jacek Jakub Konieczny

An apparatus includes: a first sensor configured to provide a first input; a second sensor configured to provide a second input; and a processing unit configured to receive the first input from the first sensor, and a second input from the second sensor; wherein the processing unit is configured to determine a first probability of a first predicted event, and a second probability of a second predicted event, wherein the first predicted event and the second predicted event are associated with an operation of the vehicle; and wherein the processing unit is configured to calculate a risk score based on the first probability of the first predicted event, and based on the second probability of the second predicted event.

Devices and methods for assisting operation of vehicles based on situational assessment fusing expoential risks (safer)

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 sensor configured to provide a first input associated with an environment outside a vehicle; a second sensor configured to provide a second input associated with an operation of the vehicle; and a processing unit having a first-stage processing system and a second-stage processing system; the first-stage processing system configured to receive the first input and the second input, process the first input to obtain a first time series of information, and process the second input to obtain a second time series of information; wherein the second-stage processing system comprises a neural network model configured to receive the first time series of information and a second time series of information in parallel; and wherein the neural network is configured to process the first time series and the second time series to determine a probability of a predicted event associated with an operation of the vehicle.

Devices and methods for assisting operation of vehicles based on situational assessment fusing expoential risks (SAFER)

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

An apparatus includes: a camera configured to view a driver of a vehicle; and a processing unit comprising a first model and a second model; wherein the first model is configured to process the images of the driver and to output feature information based on the images, and wherein the second model is configured to receive the feature information from the first model, and to generate an output that indicates whether the driver is drowsy or not.

Growing community of inventors

San Jose, CA, United States of America

Tahmida Binte Mahmud