Patent application EP19161470A (EP), filed 2019-03-08
Publication number: EP3561668A1
Title: METHOD AND DEVICE FOR COMPUTING ESTIMATION OUTPUT DATA
Abstract: A method, performed at a first device (300), for computing estimation output data, comprisingobtaining (S610) first sensor data;computing (S620) a first estimation score based on said first sensor data, using a first estimation model;transmitting (S630) said first sensor data or a computation request to a second device (320);receiving (S640) a second estimation score based on said first sensor data or second sensor data obtained from a second sensor, computed using a second estimation model in the second device; anddependent on the first estimation score and the received second estimation score, determining (S650) estimation output data.
IPC codes: G06F   9/    46            A I
G06F   9/    50            A I
G06N  20/    10            A I
Claims: number: 1
text: A method, performed at a first device, for computing estimation output data, comprising
obtaining (S610) first sensor data;
computing (S620) a first estimation score based on said first sensor data, using a first estimation model;
transmitting (S630) said first sensor data to a second device;
receiving (S640) a second estimation score based on said first sensor data, computed using a second estimation model in the second device; and
dependent on the first estimation score and the received second estimation score, determining (S650) estimation output data.
number: 2
text: The method of claim 1, comprising
determining a quality level of said first estimation score, wherein the step of transmitting said first sensor data is carried out if said quality level does not meet a threshold level.
number: 3
text: The method of claim 1 or 2, comprising
determining a value associated with a reliability of at least one of said first and second estimation score, wherein determining estimation output data includes weighing said first and second estimation score.
number: 4
text: The method of any preceding claim, wherein the first device is connected to a first sensor for obtaining first sensor data, and the second device is connected to a second sensor for obtaining second sensor data.
number: 5
text: The method of claim 4, wherein the first sensor data and the second sensor data pertain to a common environment.
number: 6
text: The method of any preceding claim, wherein the first estimation model and the second estimation model are learning models, configured for providing an estimation output based on a common sensor data type.
number: 7
text: The method of claim 6, wherein the first estimation model is trained with sensor data obtained in the first device, and the second estimation model is trained with sensor data obtained in the second device.
number: 8
text: The method of any preceding claim, wherein computing estimation output data includes computing a mean score based on at least the first estimation score and the second estimation score.
number: 9
text: The method of any preceding claim, wherein the first device is an edge device, connected in uplink to a network node of a communication network, wherein the first device is laterally connected to the second device in a local network.
number: 10
text: A device (300) for computing estimation output data based on sensor data, comprising
a sensor input interface for obtaining first sensor data from one or more sensors
a control unit, which control unit includes
a data memory holding computer program code representing a first local estimation model, and
a processing device configured to execute the computer program code;
wherein the control unit is configured to control the device to
number: 11
text: The device of claim 10, wherein the control unit is configured to control the device to
determine a quality level of said first estimation score, and to transmit said first sensor data responsive to said quality level not meeting a threshold level.
number: 12
text: The device of claim 10 or 11, wherein the control unit is configured to control the device to
determine a value associated with a reliability of at least one of said first and second estimation score, and
weighing said first and second estimation score upon determining said estimation output data.
number: 13
text: The device of claim any of claims 10-12, wherein the device includes at least one of said one or more sensors.
number: 14
text: The device of any of claim 10-13, wherein the first sensor data and the second sensor data pertain to a common environment.
number: 15
text: The device of any of claims 10-14, further configured to carry out any of the steps of claims 6-9.
Office action: search_report, dated 2019-10-30
Prior art cited: ref_id: US2018005118A1
ref_type: patent
severity: background
ref_id: - KATTEPUR AJAY ET AL: "A-Priori Estimation of Computation Times in Fog Networked Robotics", 2017 IEEE INTERNATIONAL CONFERENCE ON EDGE COMPUTING (EDGE), IEEE, 25 June 2017 (2017-06-25), pages 9 - 16, XP033151575, DOI: 10.1109/IEEE.EDGE.2017.11
ref_type: npl
severity: background
ref_id: - MASRI WASSIM ET AL: "Minimizing delay in IoT systems through collaborative fog-to-fog (F2F) communication", 2017 NINTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN), IEEE, 4 July 2017 (2017-07-04), pages 1005 - 1010, XP033130483, DOI: 10.1109/ICUFN.2017.7993950
ref_type: npl
severity: background
ref_id: US2018005118
ref_type: patent
severity: background
ref_id: - KATTEPUR AJAY ET AL, "A-Priori Estimation of Computation Times in Fog Networked Robotics", 2017 IEEE INTERNATIONAL CONFERENCE ON EDGE COMPUTING (EDGE), IEEE, (20170625), doi:10.1109/IEEE.EDGE.2017.11, pages 9 - 16, XP033151575 [I] 1-15 * column  1  - column  3 * * column  6  - column  7 *
ref_type: npl
severity: background
ref_id: - MASRI WASSIM ET AL, "Minimizing delay in IoT systems through collaborative fog-to-fog (F2F) communication", 2017 NINTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN), IEEE, (20170704), doi:10.1109/ICUFN.2017.7993950, pages 1005 - 1010, XP033130483 [A] 1-15 * column  1  - column  2 * * column  7 *
ref_type: npl
severity: background
Final disposition: pending (2019-10-30)