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公开(公告)号：US20200218941A1
公开(公告)日：2020-07-09
申请号：US16649049
申请日：2017-12-28
Applicant: Intel Corporation
Inventor： Zhigang Wang , Xuesong Shi
Abstract: Methods, apparatus, systems, and articles of manufacture to simulate sensor data are disclosed. An example apparatus includes a noise characteristic identifier to extract a noise characteristic associated with a feature present in first sensor data obtained by a physical sensor. A feature identifier is to identify a feature present in second sensor data. The second sensor data is generated by an environment simulator simulating a virtual representation of the real sensor. A noise simulator is to synthesize noise-adjusted simulated sensor data based on the feature identified in the second sensor data and the noise characteristic associated with the feature present in the first sensor data.
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公开(公告)号：US20240028907A1
公开(公告)日：2024-01-25
申请号：US16649523
申请日：2017-12-28
Applicant: Intel Corporation
Inventor： Xuesong Shi , Zhigang Wang
IPC: G06N3/094 , G06N3/0475
CPC classification number: G06N3/094 , G06N3/0475
Abstract: Training data generators and methods for machine learning are disclosed. An example method to generate training data for machine learning by generating simulated training data for a target neural network, transforming, with a training data transformer, the simulated training data form transformed training data, the training data transformer trained to increase a conformance of the transformed training data and the simulated training data, and training the target neural network with the transformed training data.
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公开(公告)号：US11815602B2
公开(公告)日：2023-11-14
申请号：US16644118
申请日：2017-10-03
Applicant: Intel Corporation
Inventor： Ganmei You , Zhigang Wang , Dawei Wang , Hu Chen
IPC: G01S17/89 , G06T7/521 , G01S17/931 , G01S7/4913 , G01S7/487 , G01S7/497
CPC classification number: G01S17/89 , G01S7/4873 , G01S7/4913 , G01S17/931 , G06T7/521 , G06T2207/20212
Abstract: A technology is described for mapping a physical environment. An example method may include receiving laser point data for laser light reflected from the physical environment and detected by a laser sensor. Points included in the laser point data can be correlated to grid cells in an environment map that represents the physical environment. Error ranges for the points correlated to the grid cells can be determined based in part on an error distribution. Occupation probabilities can then be calculated for the grid cells in the environment map using an interpolation technique and grid cell occupation probabilities for adjacent error grid cells selected based in part on the error ranges of the points, and the grid cells in the environment map can be updated with the occupation probabilities.
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公开(公告)号：US20200271787A1
公开(公告)日：2020-08-27
申请号：US16644118
申请日：2017-10-03
Applicant: Intel Corporation
Inventor： Ganmei You , Zhigang Wang , Dawei Wang , Hu Chen
IPC: G01S17/89 , G01S17/931 , G01S7/487 , G01S7/4913
Abstract: A technology is described for mapping a physical environment. An example method may include receiving laser point data for laser light reflected from the physical environment and detected by a laser sensor. Points included in the laser point data can be correlated to grid cells in an environment map that represents the physical environment. Error ranges for the points correlated to the grid cells can be determined based in part on an error distribution. Occupation probabilities can then be calculated for the grid cells in the environment map using an interpolation technique and grid cell occupation probabilities for adjacent error grid cells selected based in part on the error ranges of the points, and the grid cells in the environment map can be updated with the occupation probabilities.
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5.发明授权公开(公告)号：US11880770B2
公开(公告)日：2024-01-23
申请号：US17059967
申请日：2018-08-31
Applicant: Intel Corporation
Inventor： Ganmei You , Zhigang Wang , Dawei Wang
IPC: G06N3/084 , G06N3/04 , G06V20/64 , G06V10/44 , G06V20/56 , G06F18/213 , G06V10/764 , G06V10/82 , G06V20/58
CPC classification number: G06N3/084 , G06F18/213 , G06N3/04 , G06V10/454 , G06V10/764 , G06V10/82 , G06V20/56 , G06V20/58 , G06V20/64
Abstract: Techniques related to training and implementing convolutional neural networks for object recognition are discussed. Such techniques may include applying, at a first convolutional layer of the convolutional neural network, 3D filters of different spatial sizes to an 3D input image segment to generate multi-scale feature maps such that each feature map has a pathway to fully connected layers of the convolutional neural network, which generate object recognition data corresponding to the 3D input image segment.
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Patent Agency Ranking
公开(公告)号：US11578980B2
公开(公告)日：2023-02-14
申请号：US16650905
申请日：2018-01-10
Applicant: Intel Corporation
Inventor： Zhigang Wang , Ganmei You
Abstract: Systems, apparatuses and methods may provide for technology that generates a sequence of predictive maps based on a sequence of historical maps and overlays the sequence of predictive maps on one another to obtain a map overlay. The technology may also apply an attenuation factor to the map overlay. In one example, the map overlay includes a grid of cells and each cell includes an occupation probability in accordance with the attenuation factor.
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公开(公告)号：US20200333142A1
公开(公告)日：2020-10-22
申请号：US16650905
申请日：2018-01-10
Applicant: Intel Corporation
Inventor： Zhigang Wang , Ganmei You
Abstract: Systems, apparatuses and methods may provide for technology that generates a sequence of predictive maps based on a sequence of historical maps and overlays the sequence of predictive maps on one another to obtain a map overlay. The technology may also apply an attenuation factor to the map overlay. In one example, the map overlay includes a grid of cells and each cell includes an occupation probability in accordance with the attenuation factor.
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公开(公告)号：US20220057232A1
公开(公告)日：2022-02-24
申请号：US17299722
申请日：2018-12-12
Applicant: Intel Corporation
Inventor： Yingzhe Shen , Zhigang Wang , Xuesong Shi
Abstract: A time-aware occupancy mapping using regression to unknown (“RTU”) analysis, and an apparatus to dynamically allocate occupancy probability to a cell in an environment to thereby form a time-aware occupancy map of the environment are disclosed. The apparatus includes a memory circuitry in communication with a processor circuitry, the memory circuitry configured to receive and store probability information from the processor circuitry and to store the probability value and its corresponding time stamp at a probability table. The processor circuitry may be configured to, among others: (1) receive occupancy information, the occupancy information defining whether a first of a plurality of cells (102, 104, 106 and 108) in the environment is occupied; (2) determine a first probability value that the first cell is occupied at a first point in time; (3) direct the first probability value and its corresponding timestamp to the memory circuitry to store; (4) determine a second probability value that the first cell is occupied at a second point in time, the second point in time defined by a lapsed interval from the first point in time to the second point in time; and (5) update the memory circuitry to store the second probability value and its corresponding timestamp.
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公开(公告)号：US11692830B2
公开(公告)日：2023-07-04
申请号：US16831104
申请日：2020-03-26
Applicant: Intel Corporation
Inventor： Xiaolong Liu , Zhigang Wang , Dawei Wang , Haitao Ji , Qianying Zhu , Fei Li , Ignacio J Alvarez
CPC classification number: G01C21/30 , G01C21/3602 , G06V20/588
Abstract: The present disclosure relates to real-time localization error correction of an autonomous vehicle (AV). A processor for real-time localization error correction of the AV is provided. The processor is configured to retrieve a reference landmark around the AV from a map aggregating server (MAS), wherein the AV is configured to interact with the MAS for real-time localization; detect, in real time, a ground truth landmark corresponding to the reference landmark, according to image data captured by one or more image capture devices installed on the AV; and determine a deviation between the ground truth landmark and the reference landmark as a real-time correction value for the real-time localization of the AV.
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公开(公告)号：US11599751B2
公开(公告)日：2023-03-07
申请号：US16649049
申请日：2017-12-28
Applicant: Intel Corporation
Inventor： Zhigang Wang , Xuesong Shi
Abstract: Methods, apparatus, systems, and articles of manufacture to simulate sensor data are disclosed. An example apparatus includes a noise characteristic identifier to extract a noise characteristic associated with a feature present in first sensor data obtained by a physical sensor. A feature identifier is to identify a feature present in second sensor data. The second sensor data is generated by an environment simulator simulating a virtual representation of the real sensor. A noise simulator is to synthesize noise-adjusted simulated sensor data based on the feature identified in the second sensor data and the noise characteristic associated with the feature present in the first sensor data.
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