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公开(公告)号：US20220126878A1
公开(公告)日：2022-04-28
申请号：US17434713
申请日：2020-03-27
Applicant: Intel Corporation
Inventor： Hassnaa Moustafa , Suhel Jaber , Darshan Iyer , Mehrnaz Khodam Hazrati , Pragya Agrawal , Naveen Aerrabotu , Petrus J. Van Beek , Monica Lucia Martinez-Canales , Patricia Ann Robb , Rita Chattopadhyay , Soila P. Kavulya , Karthik Reddy Sripathi , Igor Tatourian , Rita H. Wouhaybi , Ignacio J. Alvarez , Fatema S. Adenwala , Cagri C. Tanriover , Maria S. Elli , David J. Zage , Jithin Sankar Sankaran Kutty , Christopher E. Lopez-Araiza , Magdiel F. Galán-Oliveras , Li Chen
Abstract: An apparatus comprising at least one interface to receive sensor data from a plurality of sensors of a vehicle; and one or more processors to autonomously control driving of the vehicle according to a path plan based on the sensor data; determine that autonomous control of the vehicle should cease; send a handoff request to a remote computing system for the remote computing system to control driving of the vehicle remotely; receive driving instruction data from the remote computing system; and control driving of the vehicle based on instructions included in the driving instruction data.
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公开(公告)号：US20220126863A1
公开(公告)日：2022-04-28
申请号：US17434716
申请日：2020-03-27
Applicant: Intel Corporation
Inventor： Hassnaa Moustafa , Soila P. Kavulya , Igor Tatourian , Rita H. Wouhaybi , Ignacio J. Alvarez , Fatema S. Adenwala , Cagri C. Tanriover , Maria S. Elli , David J. Zage , Jithin Sankar Sankaran Kutty , Christopher E. Lopez-Araiza , Magdiel F. Galán-Oliveras , Li Chen
Abstract: An apparatus comprising at least one interface to receive a signal identifying a second vehicle in proximity of a first vehicle; and processing circuitry to obtain a behavioral model associated with the second vehicle, wherein the behavioral model defines driving behavior of the second vehicle; use the behavioral model to predict actions of the second vehicle; and determine a path plan for the first vehicle based on the predicted actions of the second vehicle.
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Patent Agency Ranking
公开(公告)号：US20210342560A1
公开(公告)日：2021-11-04
申请号：US17093418
申请日：2020-11-09
Applicant: Intel Corporation
Inventor： Chieh-Yih Wan , Rahul C. Shah , Cagri C. Tanriover , Ke-Yu Chen
Abstract: In one embodiment, an apparatus comprises processing circuitry to: receive wireless signal data corresponding to an RFID tag, wherein the wireless signal data comprises signal strength data and signal phase data corresponding to wireless signals transmitted by the RFID tag and received by an RFID reader; generate decomposed signal strength data based on a seasonal decomposition of the signal strength data; generate a frequency-phase curve based on the signal phase data; extract a set of signal strength features based on the decomposed signal strength data; extract a set of signal phase features based on the frequency-phase curve; and detect a motion state of the RFID tag using a machine learning classifier, wherein the machine learning classifier is trained to detect the motion state based on the set of signal strength features and the set of signal phase features.
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公开(公告)号：US11620465B2
公开(公告)日：2023-04-04
申请号：US17093418
申请日：2020-11-09
Applicant: Intel Corporation
Inventor： Chieh-Yih Wan , Rahul C. Shah , Cagri C. Tanriover , Ke-Yu Chen
IPC: G06K7/10 , G06N20/00 , G06Q10/087 , G01S5/02
Abstract: In one embodiment, an apparatus comprises processing circuitry to: receive wireless signal data corresponding to an RFID tag, wherein the wireless signal data comprises signal strength data and signal phase data corresponding to wireless signals transmitted by the RFID tag and received by an RFID reader; generate decomposed signal strength data based on a seasonal decomposition of the signal strength data; generate a frequency-phase curve based on the signal phase data; extract a set of signal strength features based on the decomposed signal strength data; extract a set of signal phase features based on the frequency-phase curve; and detect a motion state of the RFID tag using a machine learning classifier, wherein the machine learning classifier is trained to detect the motion state based on the set of signal strength features and the set of signal phase features.
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公开(公告)号：US20200097690A1
公开(公告)日：2020-03-26
申请号：US16697098
申请日：2019-11-26
Applicant: Intel Corporation
Inventor： Chieh-Yih Wan , Rahul C. Shah , Cagri C. Tanriover , Ke-Yu Chen
Abstract: In one embodiment, an apparatus comprises processing circuitry to: receive wireless signal data corresponding to an RFID tag, wherein the wireless signal data comprises signal strength data and signal phase data corresponding to wireless signals transmitted by the RFID tag and received by an RFID reader; generate decomposed signal strength data based on a seasonal decomposition of the signal strength data; generate a frequency-phase curve based on the signal phase data; extract a set of signal strength features based on the decomposed signal strength data; extract a set of signal phase features based on the frequency-phase curve; and detect a motion state of the RFID tag using a machine learning classifier, wherein the machine learning classifier is trained to detect the motion state based on the set of signal strength features and the set of signal phase features.
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公开(公告)号：US20220126864A1
公开(公告)日：2022-04-28
申请号：US17434710
申请日：2020-03-27
Applicant: Intel Corporation
Inventor： Hassnaa Moustafa , Darshana D. Salvi , Suhel Jaber , Darshan Iyer , Mehrnaz Khodam Hazrati , Pragya Agrawal , Naveen Aerrabotu , Petrus J. Van Beek , Monica Lucia Martinez-Canales , Patricia Ann Robb , Rita Chattopadhyay , Jeffrey M. Ota , Iman Saleh Moustafa , Soila P. Kavulya , Karthik Reddy Sripathi , Mohamed Eltabakh , Igor Tatourian , Cynthia E. Kaschub , Rita H. Wouhaybi , Ignacio J. Alvarez , Fatema S. Adenwala , Cagri C. Tanriover , Maria S. Elli , David J. Zage , Jithin Sankar Sankaran Kutty , Christopher E. Lopez-Araiza , Magdiel F. Galán-Oliveras , Li Chen , Bahareh Sadeghi , Subramanian Anandaraj , Pradeep Sakhamoori
Abstract: Sensor data is received from a plurality of sensors, where the plurality of sensors includes a first set of sensors and a second set of sensors, and at least a portion of the plurality of sensors are coupled to a vehicle. Control of the vehicle is automated based on at least a portion of the sensor data generated by the first set of sensors. Passenger attributes of one or more passengers within the autonomous vehicles are determined from sensor data generated by the second set of sensors. Attributes of the vehicle are modified based on the passenger attributes and the sensor data generated by the first set of sensors.
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公开(公告)号：US10832024B2
公开(公告)日：2020-11-10
申请号：US16697098
申请日：2019-11-26
Applicant: Intel Corporation
Inventor： Chieh-Yih Wan , Rahul C. Shah , Cagri C. Tanriover , Ke-Yu Chen
Abstract: In one embodiment, an apparatus comprises processing circuitry to: receive wireless signal data corresponding to an RFID tag, wherein the wireless signal data comprises signal strength data and signal phase data corresponding to wireless signals transmitted by the RFID tag and received by an RFID reader; generate decomposed signal strength data based on a seasonal decomposition of the signal strength data; generate a frequency-phase curve based on the signal phase data; extract a set of signal strength features based on the decomposed signal strength data; extract a set of signal phase features based on the frequency-phase curve; and detect a motion state of the RFID tag using a machine learning classifier, wherein the machine learning classifier is trained to detect the motion state based on the set of signal strength features and the set of signal phase features.
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