公开(公告)号：US11536574B2

公开(公告)日：2022-12-27

申请号：US16728849

申请日：2019-12-27

Applicant: Intel Corporation

Inventor： Javier Felip Leon ,  Ignacio J. Alvarez ,  Maria Soledad Elli ,  David I. Gonzalez Aguirre ,  Javier Turek

IPC: G01C21/32 ,  G01C21/16 ,  G05D1/00 ,  G05D1/02

Abstract: In an autonomous vehicle system, data received from one or more autonomous vehicles (AVs) can be aggregated to generate aggregated data. From this aggregated data, a vector-field map can be generated that includes a plurality of cells. Each of the cells can include a corresponding vector. The vector field map can be analyzed to identify one or more vectors of the plurality of cells that exceed one or more predetermined threshold values. The analysis can include a magnitude analysis and/or a frequency analysis. Based on the analysis, traffic and/or road conditions can be determined, which can provide prior knowledge about the driving behavior of other vehicles. Advantageously, aspects of the disclosure improve predictive motion models and enhance navigation algorithms.

公开(公告)号：US11507084B2

公开(公告)日：2022-11-22

申请号：US16366120

申请日：2019-03-27

Applicant: Intel Corporation

Inventor： Sridhar G. Sharma ,  S M Iftekharul Alam ,  Nilesh Ahuja ,  Avinash Kumar ,  Jason Martin ,  Ignacio J. Alvarez

IPC: G05D1/00 ,  H04W4/46 ,  G06N7/00 ,  G06K9/62 ,  G06N3/08 ,  G06N3/04 ,  G06V20/58 ,  G01C21/32 ,  G01C21/00 ,  G08G1/0967 ,  G05D1/02 ,  G06N20/10 ,  G06T17/00

Abstract: Disclosures herein may be directed to a method, technique, or apparatus directed to a computer-assisted or autonomous driving (CA/AD) vehicle that includes a system controller, disposed in a first CA/AD vehicle, to manage a collaborative three-dimensional (3-D) map of an environment around the first CA/AD vehicle, wherein the system controller is to receive, from another CA/AD vehicle proximate to the first CA/AD vehicle, an indication of at least a portion of another 3-D map of another environment around both the first CA/AD vehicle and the another CA/AD vehicle and incorporate the at least the portion of the 3-D map proximate to the first CA/AD vehicle and the another CA/AD vehicle into the 3-D map of the environment of the first CA/AD vehicle managed by the system controller.

公开(公告)号：US20210403004A1

公开(公告)日：2021-12-30

申请号：US17471411

申请日：2021-09-10

Applicant: Intel Corporation

Inventor： Ignacio J. Alvarez ,  Marcos Carranza ,  Ralf Graefe ,  Francesc Guim bernat ,  Cesar Martinez-spessot ,  Dario Oliver ,  Selvakumar Panneer ,  Michael Paulitsch ,  Rafael Rosales

IPC: B60W40/09 ,  G06K9/62 ,  G06N20/00 ,  H04W4/40

Abstract: Techniques are disclosed to address issues related to the use of personalized training data to supplement machine learning trained models for Driver Monitoring System (DMS), and the accompanying mechanisms to maintain confidentiality of this personalized training data. The techniques disclosed herein also address issues related to maintaining transparency with respect to collected sensor data used in a DMS. Additionally, the techniques disclosed herein facilitate the generation of a digital representation of a driver for use as supplemental training data for the DMS machine learning trained models, which allow for DMS algorithms to be tailored to individual users.

公开(公告)号：US20200327415A1

公开(公告)日：2020-10-15

申请号：US16913318

申请日：2020-06-26

Applicant: Intel Corporation

Inventor： Javier Felip Leon ,  Javier Sebastian Turek ,  David Israel Gonzalez Aguirre ,  Ignacio J. Alvarez ,  Javier Perez -Ramirez ,  Mariano Tepper

IPC: G06N3/08 ,  G06N3/04 ,  G06N3/00

Abstract: Systems, apparatuses and methods may provide for technology that identifies a cognitive space that is to be a compressed representation of activations of a neural network, maps a plurality of activations of the neural network to a cognitive initial point and a cognitive destination point in the cognitive space and generates a first cognitive trajectory through the cognitive space, wherein the first cognitive trajectory traverses the cognitive space from the cognitive initial point to the cognitive destination point

公开(公告)号：US20200326667A1

公开(公告)日：2020-10-15

申请号：US16911100

申请日：2020-06-24

Applicant: Intel Corporation

Inventor： Nilesh Ahuja ,  Ignacio J. Alvarez ,  Ranganath Krishnan ,  Ibrahima J. Ndiour ,  Mahesh Subedar ,  Omesh Tickoo

IPC: G05B13/02 ,  G06N3/08 ,  G06N7/00 ,  G06N5/04 ,  G06K9/62

Abstract: Techniques are disclosed for using neural network architectures to estimate predictive uncertainty measures, which quantify how much trust should be placed in the deep neural network (DNN) results. The techniques include measuring reliable uncertainty scores for a neural network, which are widely used in perception and decision-making tasks in automated driving. The uncertainty measurements are made with respect to both model uncertainty and data uncertainty, and may implement Bayesian neural networks or other types of neural networks.

公开(公告)号：US20200226856A1

公开(公告)日：2020-07-16

申请号：US16830769

申请日：2020-03-26

Applicant: Intel Corporation

Inventor： Julio Zamora Esquivel ,  Ignacio J. Alvarez ,  Hector Cordourier Maruri ,  Jesus Cruz Vargas ,  David I. Gonzalez Aguirre ,  Alejandro Ibarra von borstel ,  Paulo Lopez Meyer ,  Jose Camacho Perez

IPC: G07C5/08 ,  G01V1/00 ,  G06N20/00

Abstract: Techniques are disclosed to use existing vehicle speakers alone or in conjunction with other sensors (e.g. SRS sensors and/or microphones) that may already be implemented as part of the vehicle to identify acoustic signatures. Suitable low-cost and widely available hardware components (e.g., relays) may be used to modify the vehicle's existing speakers for a bi-directional mode of operation. Moreover, the vehicle's existing of audio amplifiers may be used to amplify signals collected by the speakers when operating in “reverse,” and process these collected signals to determine vehicle state information.

公开(公告)号：US11999364B2

公开(公告)日：2024-06-04

申请号：US17133074

申请日：2020-12-23

Applicant: Intel Corporation

Inventor： Ignacio J. Alvarez ,  Maria Soledad Elli ,  Javier Felip Leon ,  Javier Sebastian Turek ,  David Israel Gonzalez Aguirre

IPC: B60W50/02 ,  B60W50/029 ,  B60W50/038 ,  H04L9/40 ,  B60W50/04

CPC classification number: B60W50/0205 ,  B60W50/029 ,  B60W50/038 ,  H04L63/1416 ,  B60W2050/0292 ,  B60W2050/046

Abstract: 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.

公开(公告)号：US11983625B2

公开(公告)日：2024-05-14

申请号：US16911100

申请日：2020-06-24

Applicant: Intel Corporation

Inventor： Nilesh Ahuja ,  Ignacio J. Alvarez ,  Ranganath Krishnan ,  Ibrahima J. Ndiour ,  Mahesh Subedar ,  Omesh Tickoo

IPC: G06N3/08 ,  G05B13/02 ,  G06F18/2431 ,  G06F18/25 ,  G06N5/046 ,  G06N7/01

CPC classification number: G06N3/08 ,  G05B13/026 ,  G05B13/027 ,  G06F18/2431 ,  G06F18/251 ,  G06N5/046 ,  G06N7/01

Abstract: Techniques are disclosed for using neural network architectures to estimate predictive uncertainty measures, which quantify how much trust should be placed in the deep neural network (DNN) results. The techniques include measuring reliable uncertainty scores for a neural network, which are widely used in perception and decision-making tasks in automated driving. The uncertainty measurements are made with respect to both model uncertainty and data uncertainty, and may implement Bayesian neural networks or other types of neural networks.

公开(公告)号：US11947357B2

公开(公告)日：2024-04-02

申请号：US17864461

申请日：2022-07-14

Applicant: Intel Corporation

Inventor： Rafael Rosales ,  Florian Geissler ,  Ignacio J. Alvarez ,  Neslihan Kose Cihangir

IPC: G05D1/02 ,  B60W60/00 ,  G01C21/34 ,  G05D1/00

CPC classification number: G05D1/0214 ,  B60W60/0011 ,  G01C21/3407 ,  G05D2201/0213

Abstract: A controller for an autonomous vehicle may include: one or more processors configured to: determine a maneuver planned for the vehicle based on a safety driving model and based on a first message from a network component external to the vehicle, the first message including a respective assessment for each proposed maneuver of at least two maneuvers proposed for the vehicle, and provide an in-vehicle instruction to perform the maneuver planned for the vehicle.

公开(公告)号：US11940287B2

公开(公告)日：2024-03-26

申请号：US17763230

申请日：2019-12-27

Applicant: INTEL CORPORATION ,  MOBILEYE VISION TECHNOLOGIES LTD.

Inventor： Yuqing Hou ,  Xiaolong Liu ,  Ignacio J. Alvarez ,  Xiangbin Wu

IPC: G01C21/34 ,  G01C21/36

CPC classification number: G01C21/3492 ,  G01C21/3461 ,  G01C21/3614

Abstract: Provided is a device and a method for route planning. The route planning device (100) may include a data interface (128) coupled to a road and traffic data source (160); a user interface (170) configured to display a map and receive a route planning request from a user, the route planning request including a line of interest on the map; a processor (110) coupled to the data interface (128) and the user interface (170). The processor (110) may be configured to identify the line of interest in response to the route planning request; acquire, via the data interface (128), road and traffic information associated with the line of interest from the road and traffic data source (160); and calculate, based on the acquired road and traffic information, a navigation route that matches or corresponds to the line of interest and meets or satisfies predefined road and traffic constraints.