Intel Corporation

Mobileye Vision Technologies Ltd.

David Israel Gonzalez Aguirre

Javier Felip Leon

Ignacio Javier Alvarez

Javier Sebastian Turek

Justin E Gottschlich

Luis Carlos Maria Remis

Maria Soledad Elli

Sridhar G Sharma

Kathiravetpillai Sivanesan

Javier Perez-Ramirez

S M Iftekharul Alam

Shengtian Zhou

Satish Chandra Jha

Alexander F Heinecke

Julio Cesar Zamora Esquivel

Richard Dorrance

Deepak Dasalukunte

Patrick Mead

Javier Sebastián Turek

Glen J Anderson

David Arditti Ilitzky

Li Chen

Leobardo E Campos Macias

Evangelos Georganas

Mariano Tepper

Mohammad Mejbah Ul Alam

Ranganath Krishnan

Omar Florez

Julio Zamora Esquivel

Francesc Guim Bernat

Sara S Baghsorkhi

Dave A Cavalcanti

Liuyang L Yang

David W Browning

Jason Martin

Jose Rodrigo Camacho Perez

Paulo Lopez Meyer

Hector A Cordourier Maruri

Marcos Emanuel Carranza

Jose I Parra Vilchis

Mahesh M Subedar

Mateo Guzman

Cesar Martinez-Spessot

Alejandro Ibarra Von Borstel

Mikhail T Galeev

Rebecca Chierichetti

Jesus Cruz Vargas

Sindhu Pandian

Kevin Joseph Doran

Jeffrey Ota

Dario Oliver

Rita Brugarolas Brufau

Vy Vo

Hechen Wang

Andrea E Johnson

Hector Cordourier Maruri

Gabriel C Cox

Lakshmi N Talluru

Rufeng Meng

Rafael De La Guardia González

Naveen Aerrabotu

Fernando Ambriz Meza

Walter Alejandro Mayorga Macias

Rocio Hernandez Fabian

Philip Krejov

Razia Shaik

Alexander Marshall Merritt

A robotic system, including: a robot having an arm with a multi-fingered soft gripper that is formed of a compliant material; an image sensor fixedly mounted on the arm to move with the multi-fingered soft gripper, and operable to capture image data of the multi-fingered soft gripper composed of a compliant material; and processor circuitry operable to generate a model of a state of the multi-fingered soft gripper by: controlling the arm to move in a predefined motion pattern while the image sensor captures the image data; deriving an optical flow based on the image data and consecutive arm kinematic and velocity frame states; and segmenting between a multi-fingered soft gripper portion and a background portion of the image data based on the optical flow, wherein static regions of the optical flow represent the multi-fingered soft gripper portion, dynamic regions of the optical flow represent the background portion, and non-coherent regions of the optical flow represent contour between the multi-fingered soft gripper portion and the background portion of the image data.

Segmenting multi-fingered soft gripper portion based on optical flow

A safety system for a vehicle may include one or more processors configured to determine, based on a friction prediction model, one or more predictive friction coefficients between the ground and one or more tires of the ground vehicle using first ground condition data and second ground condition data. The first ground condition data represent conditions of the ground at or near the position of the ground vehicle, and the second ground condition data represent conditions of the ground in front of the ground vehicle with respect to a driving direction of the ground vehicle. The one or more processors are further configured to determine driving conditions of the ground vehicle using the determined one or more predictive friction coefficients.

Safety system for a vehicle

Various systems and methods for implementing an enhanced occupant collision safety system in a vehicle are described herein. A system for controlling deployment of vehicle safety mechanisms of a host vehicle, includes a sensor array interface to receive acceleration data from an impact sensor; an image processor to receive events from an event camera, the event camera configured to monitor a scene of an interior of the host vehicle that includes an occupant; and an occupant safety system controller to: cluster the events to discriminate between events associated with a background of the scene and events associated with a body part of the occupant; detect a collision based on the acceleration data; verify the collision based on the events associated with the background of the scene; and in response to verifying the collision, cause a collision safety mechanism of the host vehicle to deploy.

Enhanced occupant collision safety system

A localization system includes a first sensor, configured to detect a vibration and generate a first electrical signal in response to the detection of the vibration; a second sensor, configured to detect a vibration and generate a second electrical signal in response to the detection of the vibration; a third sensor, configured to detect a vibration and generate a third electrical signal in response to the detection of the vibration; and

Localization system and method

Disclosed herein are systems and methods for privacy-preserving facemask-compliance-level measurement. In an embodiment, a mask-compliance measurement system includes a processor that is configured to generate, from an image of a person, a facial depth image of a region of a face of the person, and to generate facial wavelet descriptors from the facial depth image. The processor is also configured to determine spectral-density values of the wavelet descriptors, and to analyze the spectral-density values to generate a mask-wearing-compliance result for the person. In an embodiment, the analyzing includes using a classification model that is trained to classify sets of spectral-density values with respect to facemask wearing in images from which the spectral-density values were derived.

Systems and methods for privacy-preserving facemask-compliance-level measurement

A system for generating a three-dimensional (3D) representation of a surface of an object. The system includes a point cloud processor and an object surface representation processor. The point cloud processor is to generate a structured point cloud of the object based on sensor data received from a sensor. The object surface representation processor is to: identify surface nodes in the structured point cloud; and link each surface node with any of its active neighbors to generate a surface net, wherein the linking comprises simultaneously establishing a forward-connectivity-link for a respective surface node to an active neighbor and a reverse-connectivity-link for the active neighbor to the respective surface node.

Generation of three-dimensional representation of object surface from structured point-cloud

Disclosed herein are systems and methods for vehicle-occupancy-based and user-preference-based smart routing, and autonomous volumetric-occupancy measurement. In an embodiment, a system is configured to receive from a user device associated with a user, a routing-options request for routing options between two locations, and to responsively identify one or more routing options between the two locations based at least in part on occupancy data for a vehicle that would be utilized for at least a portion of at least one of the identified routing options. The occupancy data is based on an output of an automated occupancy-measurement system onboard the vehicle. The system is also configured to provide the one or more identified routing options to the user device. In some embodiments, the occupancy data is obtained using volumetric-occupancy measurement. Some embodiments relate to volumetric-occupancy measurement conducted by autonomous mesh nodes.

Systems and methods for vehicle-occupancy-based and user-preference-based smart routing and autonomous volumetric-occupancy measurement

A system, article, and method of interactive storytelling generates probability-based personalized views factoring observable user behaviors.

Method and system of interactive storytelling with probability-based personalized views

Methods, apparatus, systems, and articles of manufacture providing an improved Bayesian neural network and methods and apparatus to operate the same are disclosed. An example apparatus includes an oscillator to generate a first clock signal; a resistive element to adjust a slope of a rising edge of a second clock signal; a voltage sampler to generate a sample based on at least one of (a) a first voltage of the first clock signal when a second voltage of the second clock signal satisfies a threshold or (b) a third voltage of the second clock signal when a fourth voltage of the first clock signal satisfies the threshold; and a charge pump to adjust a weight based on the sample, the weight to adjust data in a model.

Bayesian neural network and methods and apparatus to operate the same

Methods and apparatus to calibrate a multicamera system based on a human pose are disclosed. An example apparatus includes an object identifier to identify a first set of coordinates defining first locations of anatomical points of a human in a first image captured by a first camera and identify a second set of coordinates defining second locations of the anatomical points in a second image captured by a second camera. The apparatus includes a pose detector to detect, based on at least one of the first or second sets of coordinates, when the human is in a particular pose. The apparatus includes a transformation calculator to, in response to detection of the human in the particular pose, calculate a relative transformation between the first camera and the second camera based on a first subset of the first set of coordinates and a second subset of the second set of coordinates.

Methods and apparatus to calibrate a multiple camera system based on a human pose

Methods, apparatus, systems and articles of manufacture for providing query selection systems are disclosed. An example query selection system includes a processor to: analyze a graph database; identify respective ones of objects associated with the graph database; obtain properties associated with the objects; identify common properties present in the respective ones of the objects; in response to determining the common properties present in the identified objects, output a list of the common properties corresponding to the respective ones of the objects; generate a table for the common properties and the respective ones of the objects; and populate the table with the common properties and the respective ones of the objects from the graph database to establish a relational database. The system further includes a machine learning model classifier to enable relational database query searching via the relational database.

Methods, apparatus, systems and articles of manufacture for providing query selection systems

A vehicle control system (VCS) for a vehicle may include an in-vehicle bus and an intrusion detection system (IDS). The IDS may: calculate a planned output of the vehicle based on a message of a message stream received from at least one electronic control unit (ECU) coupled to the in-vehicle bus, calculate a reachable set based on an uncertainty metric, and identify an intrusion of the VCS based on a comparison of the planned output and the reachable set.

Systems and methods for intrusion detection in vehicle systems

Apparatuses, methods and storage medium associated with compensating for a sensor deficiency in a heterogeneous sensor array are disclosed herein. In embodiments, an apparatus may include a compute device to aggregate perception data from individual perception pipelines, each of which is associated with respective one of different types of sensors of a heterogeneous sensor set, to identify a characteristic associated with a space to be monitored by the heterogeneous sensor set; detect a sensor deficiency associated with a first sensor of the sensors; and in response to a detection of the sensor deficiency, derive next perception data for more than one of the individual perception pipelines from sensor data originating from at least one second sensor of the sensors. Other embodiments may be disclosed or claimed.

Compensating for a sensor deficiency in a heterogeneous sensor array

Methods, apparatus, and software for implementing dual Bayesian encoding-decoding for text-to-code transformations. In one aspect, a multi-model probabilistic source code model employing dual Bayesian encoder-decoder models is used to convert natural language (NL) inputs (aka requests) into source code. An NL input is processed to generate a Probabilistic Distribution (PD) of Source code (SC) tokens in an SC token sequence and a PD of Abstract Syntax Tree (AST) tokens in an AST token sequence, wherein each SC token is associated with a respective AST token, and each of the SC and AST tokens have a respective PD. One or more fixing rules are applied to one or more tokens SC tokens that are identified as needing fixing, wherein the fixing rule are selected in consideration of the PDs of the SC tokens and the PDs of their associated AST tokens.

Dual bayesian encoding-decoding technique for text to code transformations

Apparatus, systems, articles of manufacture, and methods to generate acceptability criteria for autonomous systems plans are disclosed. An example apparatus includes a data compiler to compile data generated by the autonomous system into an autonomous system task dataset, a data encoder to encode the dataset for input into a rule distillation neural network architecture, a model trainer to train the rule distillation neural network architecture, an adaptor to adapt the trained rule distillation neural network architecture to a new input data domain using the autonomous system task dataset, a verifier to generate formally verified acceptability criteria, and an inferer to evaluate a control command, the evaluation resulting in an acceptance or rejection of the command.

Methods and apparatus to generate acceptability criteria for autonomous systems plans

Growing community of inventors

Hillsboro, OR, United States of America

David Israel Gonzalez Aguirre