公开(公告)号：US11536574B2

公开(公告)日：2022-12-27

申请号：US16728849

申请日：2019-12-27

申请人： Intel Corporation

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

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

摘要： 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：US20200226856A1

公开(公告)日：2020-07-16

申请号：US16830769

申请日：2020-03-26

申请人： Intel Corporation

发明人： 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分类号： G07C5/08 ,  G01V1/00 ,  G06N20/00

摘要： 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：US11501584B2

公开(公告)日：2022-11-15

申请号：US16830769

申请日：2020-03-26

申请人： Intel Corporation

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

IPC分类号： G07C5/08 ,  G01V1/00 ,  G06N20/00 ,  B60R11/02

摘要： 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：US20190314984A1

公开(公告)日：2019-10-17

申请号：US16455190

申请日：2019-06-27

申请人： Intel Corporation

发明人： David I. Gonzalez Aguirre ,  Javier Felip Leon ,  Javier Sebastián Turek ,  Luis Carlos Maria Remis ,  Ignacio Javier Alvarez ,  Justin Gottschlich

IPC分类号： B25J9/16

摘要： Apparatus, systems, methods, and articles of manufacture for automatic robot perception programming by imitation learning are disclosed. An example apparatus includes a percept mapper to identify a first percept and a second percept from data gathered from a demonstration of a task and an entropy encoder to calculate a first saliency of the first percept and a second saliency of the second percept. The example apparatus also includes a trajectory mapper to map a trajectory based on the first percept and the second percept, the first percept skewed based on the first saliency, the second percept skewed based on the second saliency. In addition, the example apparatus includes a probabilistic encoder to determine a plurality of variations of the trajectory and create a collection of trajectories including the trajectory and the variations of the trajectory. The example apparatus also includes an assemble network to imitate an action based on a first simulated signal from a first neural network of a first modality and a second simulated signal from a second neural network of a second modality, the action representative of a perceptual skill.

公开(公告)号：US20190138848A1

公开(公告)日：2019-05-09

申请号：US16236454

申请日：2018-12-29

申请人： Intel Corporation

发明人： David I. Gonzalez Aguirre ,  Maria Soledad Elli ,  Ignacio Alvarez ,  Javier Felip Leon

IPC分类号： G06K9/62 ,  G06N3/08

摘要： Systems, apparatuses and methods may provide for technology that obtains a neural network output, which estimates a difference between a first measured output of a sensor and a simulated output of the sensor. The technology may also add the difference to the simulated output of the sensor. In one example, the neural network output includes mean displacement data and parametrically controllable covariance data. Additionally, the technology may subtract a point-wise difference from a second measurement output of the sensor.

公开(公告)号：US11577388B2

公开(公告)日：2023-02-14

申请号：US16455190

申请日：2019-06-27

申请人： Intel Corporation

发明人： David I. Gonzalez Aguirre ,  Javier Felip Leon ,  Javier Sebastián Turek ,  Luis Carlos Maria Remis ,  Ignacio Javier Alvarez ,  Justin Gottschlich

IPC分类号： B25J9/16

摘要： Apparatus, systems, methods, and articles of manufacture for automatic robot perception programming by imitation learning are disclosed. An example apparatus includes a percept mapper to identify a first percept and a second percept from data gathered from a demonstration of a task and an entropy encoder to calculate a first saliency of the first percept and a second saliency of the second percept. The example apparatus also includes a trajectory mapper to map a trajectory based on the first percept and the second percept, the first percept skewed based on the first saliency, the second percept skewed based on the second saliency. In addition, the example apparatus includes a probabilistic encoder to determine a plurality of variations of the trajectory and create a collection of trajectories including the trajectory and the variations of the trajectory. The example apparatus also includes an assemble network to imitate an action based on a first simulated signal from a first neural network of a first modality and a second simulated signal from a second neural network of a second modality, the action representative of a perceptual skill.

公开(公告)号：US20220067012A1

公开(公告)日：2022-03-03

申请号：US17228864

申请日：2021-04-13

申请人： Intel Corporation

发明人： David I. Gonzalez Aguirre ,  Ignacio J. Alvarez ,  Javier Felip Leon

IPC分类号： G06F16/22 ,  G06F16/2458 ,  G06F16/23

摘要： Methods, apparatus, systems and articles of manufacture are disclosed to improve spatial-temporal data management. An example apparatus includes a hypervoxel data structure generator to generate a root hexatree data structure having sixteen hypernodes, an octree manager to improve a spatiotemporal data access efficiency by generating a first degree of symmetry in the root hexatree, the octree manager to assign a first portion of the hypernodes to a positive temporal subspace and to assign a second portion of the hypernodes to a negative temporal subspace, and a quadtree manager to improve the spatiotemporal data access efficiency by generating a second degree of symmetry in the root hexatree, the quadtree manager to assign respective hypernodes of the positive temporal subspace and the negative temporal subspace to respective positive and negative spatial subspaces.

公开(公告)号：US11214268B2

公开(公告)日：2022-01-04

申请号：US16235917

申请日：2018-12-28

申请人： Intel Corporation

发明人： David I. Gonzalez Aguirre ,  Sridhar G. Sharma ,  Javier Felip Leon ,  Javier S. Turek ,  Maria Soledad Elli

IPC分类号： B60W50/02 ,  G05D1/00 ,  G06N20/00 ,  G06N3/08

摘要： An example includes obtaining first sensor data from a first sensor and second sensor data from a second sensor, the first sensor of a first sensor type different than a second sensor type of the second sensor; generating first encoded sensor data based on the first sensor data and second encoded sensor data based on the second sensor data; generating a contextual fused sensor data representation of the first and second sensor data based on the first and second encoded sensor data; generating first and second reconstructed sensor data based on the contextual fused sensor data representation; determining a deviation estimation based on the first and second reconstructed sensor data, the deviation estimation representative of a deviation between: (a) the first reconstructed sensor data, and (b) the first sensor data; and detecting an anomaly in the deviation estimation, the anomaly indicative of an error associated with the first sensor.

公开(公告)号：US20180286119A1

公开(公告)日：2018-10-04

申请号：US15473930

申请日：2017-03-30

申请人： Intel Corporation

发明人： Javier Felip Leon ,  David I. Gonzalez Aguirre ,  Ignacio J. Alvarez

IPC分类号： G06T17/20 ,  H04N13/02 ,  H04N13/00 ,  G01L5/00 ,  G01B11/22 ,  G01G21/22 ,  B25J13/08

CPC分类号： H04N13/296 ,  B25J9/0096 ,  B25J9/046 ,  B25J13/085 ,  B25J15/103 ,  B25J19/023 ,  G01B11/24 ,  G01G19/52 ,  G01L5/009 ,  H04N13/106 ,  H04N13/207 ,  H04N13/271

摘要： An autonomous object modeler includes a modeling table, a controllable arm, a depth camera attached to the controllable arm, and a controller to control operation of the modeling table, the controllable arm, and the depth camera. The modeling table may be movable and includes a mass sensor to produce mass sensor data indicative of a mass of an object positioned on the modeling table. The controllable arm includes a force-torque sensor to produce force-torque sensor data indicative of an inertia of the object while the object is moved by the controllable arm. The controller is configured to control operation of the controllable arm to reposition the object on the modeling table to generate three-dimensional models of the object. The three-dimensional models include the mass data and the inertia data.

公开(公告)号：US11486978B2

公开(公告)日：2022-11-01

申请号：US16232213

申请日：2018-12-26

申请人： Intel Corporation

发明人： Alexander Marshall Merritt ,  David I. Gonzalez Aguirre ,  Kathiravetpillai Sivanesan ,  Ignacio Alvarez ,  Sridhar Sharma

IPC分类号： G01S7/4863 ,  G01S7/48 ,  G01S7/484 ,  G01S7/02 ,  G01S17/10 ,  G01S7/00 ,  G01S17/04 ,  G01S17/931

摘要： Systems, apparatuses and methods may provide for technology that initiates one or more optical pulses in accordance with a first emission pattern, obtains a second emission pattern in response to one or more of a time-variable trigger or a deviation of one or more received optical reflections from an expected reflection pattern, and initiates one or more optical pulses in accordance with the second emission pattern. Moreover, infrastructure node technology may detect, based on an interference notification from a first sensor platform, a deviation of received optical reflection(s) from an expected reflection pattern, select emission parameter(s) in response to the deviation, and alter a first emission pattern with respect to the selected emission parameter(s) to obtain a second emission pattern.