30results about How to "High precision tracking" patented technology

Disclosed is a wireless positioning system and method that can perform a high-precision position tracking. The wireless positioning system includes a target device that is an object of wireless positioning, beacon devices and a processing unit. The beacon devices transmits wireless signals and sense reception time points of the wireless signals transmitted from the other beacon devices and the target device and received at time points after the transmission of the wireless signal. The target device receives the wireless signal transmitted from at least one of the beacon devices, and then transmits the wireless signal to the beacon devices. The processing unit obtains the position of the target device by calculating distances between the beacon devices and the target device using information about the reception time points of the wireless signals sensed by the respective beacon devices.

A fuel cell system (10) repeating first processing and second processing when the system is started. In the first processing, a control section (18) controls an electric power distribution section (42) so that electric power generated by a fuel cell stack (12) is supplied to accessories and a secondary battery (46). In the second processing, the control section (18) controls the electric power distribution section (42) so that electric power generated by the fuel cell stack (12) and electric power discharged from the secondary battery (46) are supplied to the accessories. An electric power calculation means (52) of the control section (18) calculates electric power generation by the fuel cell stack (12) and inputs an output command, representing electric power, into air compressor drive / control means (52). The electric power calculation means (52) gradually changes the magnitude of electric power generation by the fuel cell stack (12) at the time of transition between the first processing represented by the output command and the second processing.

A sample and hold circuit architecture samples using two capacitors that are cyclically switched between charge and discharge modes. The sample and hold circuit includes a buffer to receive an input signal to be sampled, a first sampling capacitor, a second sampling capacitor, and an amplifier. The first sampling capacitor is connected to the output of the buffer during the positive phase of a clock and across the feedback path of the amplifier during the zero phase of the clock. The second sampling capacitor is connected to the output of the buffer during the zero phase of the clock and across the feedback path of the amplifier during the positive phase of the clock. Neither the first sampling capacitor nor the second sampling capacitor is simultaneously connected to the buffer, the amplifier, or to each other.

An image signal processing apparatus includes a detecting unit configured to detect a motion vector of a tracking point provided in an object in a moving image, a computing unit configured to compute a reliability parameter representing the reliability of the detected motion vector, a determining unit configured to determine whether the detected motion vector is adopted by comparing the computed reliability parameter with a boundary, an accumulating unit configured to accumulate the reliability parameter, and a changing unit configured to change the boundary on the basis of the accumulated reliability parameters.

In the disclosed method, a primary formed body (G1) is formed by a bead ring (25) being fitted to the outside of both ends in the widthwise direction of a cylindrical body having: a inner liner at the innermost periphery comprising butyl rubber; a film that is layered to the outside periphery thereof and that comprises a thermoplastic resin or a thermoplastic elastomer composition; and a carcass material disposed at the outside periphery thereof. The inner liner is prevulcanized in the state wherein the center in the widthwise direction of the primary formed body (G1) is caused to bulge in the outer peripheral direction and is held by suction to the inner peripheral surface of a transferring / holding mold (9) that has a similar shape to the outer peripheral surface of a rigid inner mold (11). After the rigid inner mold (11) is interpolated in the primary formed body (G1), the suction of the transferring / holding mold (9) is suspended, the primary formed body (G1) is transferred to the outer peripheral surface of the rigid inner mold (11), a green tire is formed at the outer peripheral surface of the rigid inner mold (11), and this green tire is vulcanized.

The present disclosure relates to a method, device, electronic device and storage medium for artificial intelligence correction of heliostats. The method includes: reading sample data; training an LSTM network according to the sample data to obtain an LSTM network model; The data is input into the LSTM network model, and the correction data of the heliostat is output after being calculated by the LSTM network model; and the daily tracking operation parameters of the heliostat are corrected using the correction data of the heliostat. Heliostat sample data is efficiently learned using methods including long short-term memory artificial intelligence machine learning, allowing heliostats to track with higher accuracy.

The invention discloses a refrigeration type common-caliber m medium / long-wave infrared double-waveband double-view-field dual-shift zoom optical system. The system comprises a first double-crescent positive lens, a second double-crescent positive lens, a first double-crescent negative lens, a third double-crescent positive lens, a second double-crescent negative lens, and a first light splitting prism for reflecting medium-wave infrared light and transmitting long-wave infrared light which are successively arranged along an optical axis. A reflection optical path of the medium-wave infrared light passing through the first light splitting prism is successively provided with a fourth double-crescent positive lens, a dual separate lens group, a first dual convex lens, a second dual concave lens, a sixth double-crescent positive lens and a seventh double-crescent positive lens, and a transmission optical path of the long-wave infrared light passing through the first light splitting prism is successively provided with an eighth double-crescent positive lens, a second dual convex lens, a third dual concave lens, a third double-crescent negative lens and a ninth double-crescent positive lens. The dual separate lens group is composed of a first dual convex lens and a fifth double-crescent positive lens. According to the system provided by the invention, a target image can be tracked, detected and captured in a high-accuracy manner.

A human tracking apparatus and method capable of highly accurately tracking the movement of persons photographed in moving images includes: an image memory 107 that stores an inputted frame image; a human detecting unit 101 that detects persons photographed in the inputted frame image; a candidate registering unit 106 that registers already detected persons as candidates; a similarity index calculating unit 102 that calculates similarity indices indicating the similarity between the persons detected in the inputted frame image and the registered candidates for two or more types of parameters based on the stored frame images in relation to all combinations of the persons and the candidates; a normalizing unit 103 that normalizes the similarity indices; an integrating unit 104 that integrates the normalized indices for each combination of the detected persons and the candidates; and a tracking unit 105 that identifies a person the same as an arbitrary candidate based on the similarity indices.

Provided is a robot control device (5), capable of enabling a robot arm to follow an arbitrarily moving workpiece with high precision. The robot control device (5) includes: a feature point detection unit (51) configured to detect the positions of a plurality of feature points in the object from an image of the object captured by a visual sensor at a predetermined cycle; a position and posture calculation unit (52), based on the positions of the detected multiple feature points, update the respective motion equations of the multiple feature points in each predetermined period, and based on the respective positions of the multiple feature points calculated according to the updated motion equations , calculate the position or posture of the object; and the robot arm motion control unit (53), based on the calculated position or posture of the object, controls the motion of the robot arm (4) to follow the object.

A target attitude collaborative planning method and system for multi-level composite control of a spacecraft. The designed multi-level composite control system for a spacecraft includes a first-level control system for a star and a second-level control system for a load. The payload and the star are required to track the same target attitude during the large-angle agile maneuvering of the spacecraft. Due to the different control periods of stars, it is necessary to use the interpolation method to calculate the load control period Δt under the condition that the target attitude of the star platform is known. 2 target pose in time. First, the next control cycle Δt is calculated by the star attitude planning algorithm 1 The target pose θ within br . Then, load at a known Δt 1 The target pose θ in time br , using the Newton interpolation method to calculate each Δt 2 The target attitude θ of the load in time pr . In the case that the target attitude of the star and the payload at each time point is known, the spacecraft multi-level composite control system uses the star and payload two-stage PID controllers for attitude control to achieve high stability control of the spacecraft optical load.

The invention provides an information processing apparatus and an information processing method for tracking movement of a user with high precision. The information processing apparatus estimates an action of a user who moves on a route formed by a plurality of segments by using a plurality of transportation means including at least a public transportation means. The apparatus comprises a first obtaining unit that obtains operation-related data which is data of operation services of the public transportation facility, and which represents a scheduled departure and arrival time for each segment; a second obtaining unit that obtains a scheduled movement route which is a set of a plurality of segments; a creation unit that obtains location information from a user terminal in a periodic manner, and creates movement track record data including the location information; and an estimation unit that estimates, based on the movement track record data and the operation-related data, a transportation means used by the user, and an entering and a leaving time thereof, with respect to a corresponding segment.