Patents by Inventor Cagri C. Tanriover
Cagri C. Tanriover has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11620465Abstract: 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.Type: GrantFiled: November 9, 2020Date of Patent: April 4, 2023Assignee: Intel CorporationInventors: Chieh-Yih Wan, Rahul C. Shah, Cagri C. Tanriover, Ke-Yu Chen
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Publication number: 20220126863Abstract: 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.Type: ApplicationFiled: March 27, 2020Publication date: April 28, 2022Applicant: Intel CorporationInventors: 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
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Publication number: 20220126864Abstract: 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.Type: ApplicationFiled: March 27, 2020Publication date: April 28, 2022Applicant: Intel CorporationInventors: 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
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Publication number: 20220126878Abstract: 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.Type: ApplicationFiled: March 27, 2020Publication date: April 28, 2022Applicant: Intel CorporationInventors: 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
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Publication number: 20210342560Abstract: 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.Type: ApplicationFiled: November 9, 2020Publication date: November 4, 2021Applicant: Intel CorporationInventors: Chieh-Yih Wan, Rahul C. Shah, Cagri C. Tanriover, Ke-Yu Chen
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Patent number: 10832024Abstract: 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.Type: GrantFiled: November 26, 2019Date of Patent: November 10, 2020Assignee: Intel CorporationInventors: Chieh-Yih Wan, Rahul C. Shah, Cagri C. Tanriover, Ke-Yu Chen
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Publication number: 20200097690Abstract: 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.Type: ApplicationFiled: November 26, 2019Publication date: March 26, 2020Applicant: Intel CorporationInventors: Chieh-Yih Wan, Rahul C. Shah, Cagri C. Tanriover, Ke-Yu Chen