Abstract: A wireless power receiving system includes: a power receiving device having a power receiving coil configured to receive electric power supplied wirelessly from a power transmission coil of a power transmission device installed on a road surface, at least part of the power receiving coil being contained in a vehicle wheel; and in-vehicle devices installed in a mobile object, the in-vehicle devices being energizably connected to the power receiving device. The power receiving device transmits the received electric power to the in-vehicle devices.

Abstract: An estimating device including, a detecting section detecting electrical characteristics between a plurality of predetermined detection points of a flexible material, the electrical characteristics of the flexible material varying in accordance with changes in applied pressure, and that is disposed can cover a portion of a projecting portion, an estimating section that inputs time-series electrical characteristics to a learning model that is trained by using, as learning data, time-series electrical characteristics at times when pressure is applied to the flexible material, and applied stimulus state information expressing applied stimulus states in which pressure is applied to the flexible material, such that the time-series electrical characteristics are inputs of the learning model and the learning model outputs the applied stimulus state information, and the estimating section estimates applied stimulus state information expressing an applied stimulus state corresponding to the inputted time-series electr

Abstract: A flexible material provided at a robot is conductive and an electrical characteristic of the flexible material changes in response to a change of state. The electrical characteristic between plural detection points of the robot is detected by a detection unit. An estimation unit uses a learning model to estimate a robot state from the electrical characteristic of the robot. The learning model is trained so as to input the electrical characteristic and output the robot state. The learning model is trained using, as training data, electrical characteristics when changes of state occur at the flexible material and robot states after the changes of state of the flexible material of the robot. The estimation unit inputs the electrical characteristic to the learning model and outputs the robot state corresponding to the inputted electrical characteristic.

Abstract: An inference device detects, with a detection section, an electrical characteristic between plural predetermined detection points on a vehicle seat provided with a soft material that is conductive and that exhibits a change in an electrical characteristic according to a change in pressure imparted. An inference section employs a learning model to infer a posture state of an occupant of the vehicle seat from the electrical characteristic of the vehicle seat. The electrical characteristic when pressure has been imparted to the vehicle seat and the posture state information indicating the posture state of the occupant when imparting pressure to the vehicle seat are employed as training data for a learning model trained so as to be input with the electrical characteristic and output the posture state information, and trained so as to be input with the electrical characteristic and output the posture state of the occupant corresponding to the input electrical characteristic.

Abstract: A non-pneumatic tire has an inner annular body centered on a rotation axis portion, an outer annular body provided radially outward of the inner annular body, a wheel portion including a connecting member elastically deforming and for connecting the inner annular body and the outer annular body, and a tread portion provided radially outward of the outer annular body and in contact with a road. The non-pneumatic tire is provided with an electrode portion which is in contact with the tread portion and is provided on the radially inner side of tread portion, and a wiring portion which connects the electrode portion and the inner annular body and is formed of a conductor. A part of the wheel portion is formed of a nonmetallic material, and the electrode portion is formed of a conductor having a prescribed width in tire width direction and a prescribed length in tire circumferential direction.

Abstract: An estimation device detects, with a detection unit, an electrical property between plural detection points in a conductive flexible material. An estimation unit uses the flexible material and a learning model to estimate the shape of an estimation target object based on the electrical property of the flexible material. The learning model is trained to use as learning data an electrical property that changes in a time series in response to deformation of the flexible material and shape information representing shapes, in the flexible material, of pressure stimuli that impart deformation to the flexible material and to receive the electrical property as input and to output the shape information.

Abstract: A power reception apparatus is installable in a vehicle and configured to receive electric power from a power transmission coil embedded in the ground. The power reception apparatus includes: a relay coil that is arranged on a tired wheel, which includes a tire and a wheel, and includes a first coil and a second coil; a power reception coil; and a power reception circuit. The first coil and the second coil are connected with each other by an electrical conductor. The first coil is arranged inside the tire. The second coil is located so that a distance from a central axis of the tired wheel to the second coil is shorter than a distance from the central axis to the first coil. The power reception coil is located so that when the first coil faces the power transmission coil, the power reception coil faces the second coil.

Abstract: A wireless power reception system 1 includes: a power reception device 5 including a power reception coil 51 that receives power supplied wirelessly from a power transmission coil 41 of a power transmission device 4 installed in a road surface, at least a portion of the power reception coil 51 being housed in a wheel 3 of a moving body 2; and an onboard device 6 which is installed in the moving body 2 and which is electrically connected to the power reception device 5, wherein the power reception device 5 can transmit received power to the onboard device 6, and the power reception coil 51 has a convex shape pointing downward in a side view as seen from an axial direction of the wheel 3.

Abstract: A wireless power reception system 1 includes: a power reception device 5 including a power reception coil 51 that receives power supplied wirelessly from a power transmission coil 41 of a power transmission device 4 installed in a road surface, at least a portion of the power reception coil 51 being housed in a wheel 3 of a moving body 2; and an onboard device 6 which is installed in the moving body 2 and which is electrically connected to the power reception device 5, wherein the power reception device 5 can transmit received power to the onboard device 6, and the power reception coil 51 includes a stacked plurality of spiral coil layers 52a and 52b.

Abstract: A wireless power transfer system 1 includes a power transmission device 2 and a power reception device 3. The power transmission device 2 is a power transmission device 2 installed in a road 4, is provided with a power transmission coil 21 that transmits power wirelessly, and is configured such that when installed in the road 4, the normal line of a coil plane of the power transmission coil 21 is inclined with respect to the normal line of the road surface of the road 4 in a lateral cross section of the road 4. The power reception device 3 is provided with a power reception coil 31 that receives power wirelessly, and at least a portion of the power reception coil 31 is housed in the wheel 6 of the moving body 5.

Abstract: An estimating device estimates a target physical amount by a learned model that is learned by using as learning data a plurality of at least three physical amounts, which are of vary in accordance with deformation at a member deforming linearly or non-linearly. The learned model is a model that has been subjected to learning so as to output the target physical amount from inputs two physical amounts of an object of estimation that correspond to at least two physical amounts other than the target physical amount.

Abstract: A wireless power reception system 1 includes: a power reception device 5 including a power reception coil 51 that receives power supplied wirelessly from a power transmission coil 41 of a power transmission device 4 installed in a road surface, at least a portion of the power reception coil 51 being housed in a wheel 3 of a moving body 2; and a driving device 61 which is installed in the wheel 3 and which drives the wheel 3 with power received by the power reception device 5, wherein the power reception device 5 is provided with a converter 56a and an inverter 56b, at least a portion of the converter 56a and at least a portion of the inverter 56b are housed in the wheel 3, the converter 56a is positioned vertically above the power reception coil 51, and the inverter 56b is positioned vertically above the converter 56a.

Abstract: A wireless power receiving system includes: a power receiving device having a power receiving coil configured to receive electric power supplied wirelessly from a power transmission coil of a power transmission device installed on a road surface, at least part of the power receiving coil being contained in a vehicle wheel; and in-vehicle devices installed in a mobile object, the in-vehicle devices being energizably connected to the power receiving device. The power receiving device transmits the received electric power to the in-vehicle devices.

Abstract: A tire state detection device that includes: a temperature sensor that detects a temperature in a tire air chamber; an acceleration sensor that detects acceleration associated with rotation of a tire; a pressure sensor that detects pressure in the tire air chamber; a storage unit that stores a plurality of maps for calculating a fatigue state of the tire on the basis of the detected temperature, the detected acceleration and the detected pressure; and a tire fatigue index calculation unit that calculates, by referring to each of the plurality of maps, a tire fatigue index from the detected acceleration, the detected temperature, and the detected pressure.

Abstract: A non-pneumatic tire has an inner annular body centered on a rotation axis portion, an outer annular body provided radially outward of the inner annular body, a wheel portion including a connecting member elastically deforming and for connecting the inner annular body and the outer annular body, and a tread portion provided radially outward of the outer annular body and in contact with a road. The non-pneumatic tire is provided with an electrode portion which is in contact with the tread portion and is provided on the radially inner side of tread portion, and a wiring portion which connects the electrode portion and the inner annular body and is formed of a conductor. A part of the wheel portion is formed of a nonmetallic material, and the electrode portion is formed of a conductor having a prescribed width in tire width direction and a prescribed length in tire circumferential direction.

Abstract: The carcass of the pneumatic tire includes a plurality of carcass cords formed of conductors and arranged along the tire radial direction and the tire width direction, and a circumferential cord formed of conductors and arranged along the tire circumferential direction. The circumferential cord contacts the carcass cord.

Abstract: A method which includes obtaining a plurality of images of tires that differ from one another in either one of or both of a tire type and a tire condition, the obtained images being regarded as teacher images; converting the teacher images into a size of a predetermined number of pixels; learning by a convolutional neural network using data of the plurality of converted teacher images as learning images, and setting parameters of the convolutional neural network; obtaining a tire image of a recognition-target tire and converting the obtained tire image into a size identical to that of the teacher images; and inputting the converted tire image of the recognition-target tire to the convolutional neural network and determining either one of or both of the type and the condition of the recognition-target tire.

Abstract: A tire state detection device that includes: a temperature sensor that detects a temperature in a tire air chamber; an acceleration sensor that detects acceleration associated with rotation of a tire; a pressure sensor that detects pressure in the tire air chamber; a storage unit that stores a plurality of maps for calculating a fatigue state of the tire on the basis of the detected temperature, the detected acceleration and the detected pressure; and a tire fatigue index calculation unit that calculates, by referring to each of the plurality of maps, a tire fatigue index from the detected acceleration, the detected temperature, and the detected pressure.

Abstract: A power generating device capable of improving efficiency of power generation by rotation of a tire and a tire equipped with the power generating device are provided. The power generating device, which is to be mounted on an interior surface of the tire, includes an oscillator that oscillates by rotation of the tire during vehicular travel to produce electromotive force. A resonance frequency of the oscillator is matched to a frequency corresponding to a change in acceleration at the interior surface of the tire during one revolution of the tire rotating at a constant speed.

Abstract: A method which includes obtaining a plurality of images of tires that differ from one another in either one of or both of a tire type and a tire condition, the obtained images being regarded as teacher images; converting the teacher images into a size of a predetermined number of pixels; learning by a convolutional neural network using data of the plurality of converted teacher images as learning images, and setting parameters of the convolutional neural network; obtaining a tire image of a recognition-target tire and converting the obtained tire image into a size identical to that of the teacher images; and inputting the converted tire image of the recognition-target tire to the convolutional neural network and determining either one of or both of the type and the condition of the recognition-target tire.