Abstract: Disclosed is a control method for delivery robots, wherein a distribution area has a preset home point. The control method includes: identifying a second delivery robot that obstructs a first delivery robot, wherein the first delivery robot is in a working state of heading to one or more target positions, and the second delivery robot is in an idle state; determining a distance between the second delivery robot and the home point; and controlling the second delivery robot to avoid the first delivery robot according to the distance between the second delivery robot and the home point. In view of the situation that an idle delivery robot may obstruct a delivery robot performing a task, the disclosure proposes an avoidance judgment logic to control the idle delivery robot to avoid, thereby improving distribution efficiency and preventing congestion.

Abstract: Disclosed are a collision avoidance method for a moving device, a collision avoidance apparatus for a moving device, and a computer-readable storage medium. This application relates to the field of artificial intelligence technologies. According to the method, a parking direction of a moving device in an avoidance area is adjusted, so that a startup time used by the moving device after avoidance completes may be reduced. The method includes: determining a target path direction of a moving device; determining a first candidate parking direction and a second candidate parking direction; determining, based on the target path direction, a target parking direction of the moving device from the first candidate parking direction and the second candidate parking direction; and controlling, based on the target parking direction, the moving device to be parked in the avoidance area.

Abstract: A computer includes a processor and a memory, and the memory stores instructions executable by the processor to determine a host kinematic state of a host vehicle, determine a target kinematic state of a target vehicle, determine a quantity characterizing an intersection of a host path of the host vehicle and a target path of the target vehicle, and actuate a component of the host vehicle based on the quantity. The host path is based on the host kinematic state, and the target path is based on the target kinematic state. At least one of the host path or the target path is curved.

Abstract: A computer includes a processor and a memory, and the memory stores instructions executable by the processor to determine an availability metric, determine a maneuver metric, determine a threat number based on a comparison of the availability metric and the maneuver metric, and in response to the threat number exceeding a threshold, actuate a vehicle system to operate one of the first vehicle or the second vehicle. The availability metric is a kinematic quantity available to a first vehicle to perform an operation to maneuver the first vehicle away from a projected path of a second vehicle. The maneuver metric is a kinematic quantity estimated to be used by the first vehicle to perform the operation to maneuver the first vehicle away from the projected path of the second vehicle. The maneuver metric is measured in the same units as the availability metric.

Abstract: A method for forming a bulk acoustic wave resonance device is provided, includes: forming a first stack, and said forming the first stack includes providing a first substrate; forming a piezoelectric layer on the first substrate; forming a first electrode layer on the piezoelectric layer; forming a cavity preprocessing layer on the piezoelectric layer, and a cavity is to be formed based on the cavity preprocessing layer, the cavity preprocessing layer at least covers a first end of the first electrode layer, and the cavity preprocessing layer is in contact with the piezoelectric layer, a first side of the first stack corresponds to a side of the first substrate, and a second side of the first stack corresponds to a side of the cavity preprocessing layer; forming a second stack, and said forming the second stack includes providing a second substrate; joining the first stack and the second stack, and the second stack is disposed at the second side; removing the first substrate, and the first side corresponds to

Abstract: A computer includes a processor and a memory, and the memory stores instructions executable by the processor to receive range data from a ranging sensor of a vehicle, the range data including a stationary object and an apparent moving object; determine that a path of the apparent moving object is within a threshold distance of the stationary object; and upon determining that the path is within the threshold distance of the stationary object, discard the apparent moving object.

Abstract: An acoustic wave device with a bent section is disclosed. The acoustic wave device includes a piezoelectric layer and an interdigital transducer electrode on the piezoelectric layer. The bent section is arranged to create a curvature in a waveguide of the acoustic wave device to suppress a transverse spurious mode of the acoustic wave device.

Abstract: Aspects of this disclosure relate to a bulk acoustic wave device with a floating raised frame structure. The bulk acoustic wave device includes a first electrode, a second electrode, a piezoelectric layer positioned between the first electrode and the second electrode, and a floating raised frame structure positioned on a same side of the piezoelectric layer as the first electrode and spaced apart from the first electrode. The floating raised frame structure is at a floating potential. The bulk acoustic wave device can suppress a raised frame mode. Related methods, filters, multiplexers, radio frequency front ends, radio frequency modules, and wireless communication devices are disclosed.

Abstract: In accordance with some embodiments, systems, methods, and media for high dynamic range imaging using single-photon and conventional image sensor data are provided. In some embodiments, the system comprises: first detectors configured to detect a level of photons proportional to incident photon flux; second detectors configured to detect arrival of individual photons; a processor programmed to: receive, from the first detectors, first values indicative of photon flux from a scene with a first resolution; receive, from the second detectors, second values indicative of photon flux from the scene with a lower resolution; provide a first encoder of a trained machine learning model first flux values based on the first values, provide the second encoder of the model second flux values; receive, as output, values indicative of photon flux from the scene; and generate a high dynamic range image based on the third plurality of values.

Abstract: An acoustic wave device with a bent section is disclosed. The acoustic wave device includes a piezoelectric layer and an interdigital transducer electrode on the piezoelectric layer. The bent section is arranged to create a curvature in a waveguide of the acoustic wave device to suppress a transverse spurious mode of the acoustic wave device.

Abstract: A driver circuit that includes an input side including a power input circuit and an output side including a light emitting diode (LED) output current circuit. The output side of the driver circuit includes an output smoothing capacitor for controlling flicker percentage. A light emitting diode (LED) power supply circuit is present between the input side and the output side for controlling current from the AC power input circuit to the light emitting diode (LED) output current circuit. The LED power supply circuit includes at least two linear current regulators that are connected in parallel. The circuit also includes a controller circuit including a controller for signaling the light emitting diode (LED) power supply to control current to the light emitting diode (LED) output current circuit to provide a lighting characteristic.

Abstract: The present disclosure discloses a method for Huffman correction and encoding, a system and relevant components, wherein the method includes: obtaining a target data block in a target file; constructing a Huffman tree by using the target data block; determining whether a depth of the Huffman tree exceeds a preset value; and when the depth of the Huffman tree does not exceed the preset value, by using the Huffman tree, generating a first code table and encoding the target data block; or when the depth of the Huffman tree exceeds the preset value, by using a standby code table, encoding the target data block; wherein the standby code table is a code table of an encoded data block in the target file.

Abstract: A computer includes a processor and a memory, the memory including instructions executable by the processor to predict a collision time between a corner point of a host vehicle and a target vehicle, predict a reach time for the corner point of the host vehicle to reach the target vehicle based on a predicted relative heading angle between the host vehicle and the target vehicle, and determine a threat number based on the lower of the collision time and the reach time.

Abstract: The present disclosure discloses a method for Huffman correction and encoding, a system and relevant components, wherein the method includes: obtaining a target data block in a target file; constructing a Huffman tree by using the target data block; determining whether a depth of the Huffman tree exceeds a preset value; and when the depth of the Huffman tree does not exceed the preset value, by using the Huffman tree, generating a first code table and encoding the target data block; or when the depth of the Huffman tree exceeds the preset value, by using a standby code table, encoding the target data block; wherein the standby code table is a code table of an encoded data block in the target file.

Abstract: The provided systems, methods and devices describe lightweight, wireless tissue monitoring devices that are capable of establishing conformal contact due to the flexibility or bendability of the device. The described systems and devices are useful, for example, for skin-mounted intraoperative monitoring of nerve-muscle activity. The present systems and methods are versatile and may be used for a variety of tissues (e.g. skin, organs, muscles, nerves, etc.) to measure a variety of different parameters (e.g. electric signals, electric potentials, electromyography, movement, vibration, acoustic signals, response to various stimuli, etc.).

Abstract: Aspects of this disclosure relate to a bulk acoustic wave device with a floating raised frame structure. The bulk acoustic wave device includes a first electrode, a second electrode, a piezoelectric layer positioned between the first electrode and the second electrode, and a floating raised frame structure positioned on a same side of the piezoelectric layer as the first electrode and spaced apart from the first electrode. The floating raised frame structure is at a floating potential. The bulk acoustic wave device can suppress a raised frame mode. Related methods, filters, multiplexers, radio frequency front ends, radio frequency modules, and wireless communication devices are disclosed.

Abstract: A method for using hydrogen-rich water to increase the content of aromatic substances in fruits and vegetables comprises the step of keeping an outlet hydrogen concentration of hydrogen-rich water no lower than a set value within a period of time for which a filed is irrigated with hydrogen-rich water.

Abstract: In accordance with some embodiments, systems, methods, and media for high dynamic range imaging using single-photon and conventional image sensor data are provided. In some embodiments, the system comprises: first detectors configured to detect a level of photons proportional to incident photon flux; second detectors configured to detect arrival of individual photons; a processor programmed to: receive, from the first detectors, first values indicative of photon flux from a scene with a first resolution; receive, from the second detectors, second values indicative of photon flux from the scene with a lower resolution; provide a first encoder of a trained machine learning model first flux values based on the first values, provide the second encoder of the model second flux values; receive, as output, values indicative of photon flux from the scene; and generate a high dynamic range image based on the third plurality of values.

Abstract: In accordance with some embodiments, systems, methods, and media for high dynamic range imaging using single-photon and conventional image sensor data are provided. In some embodiments, the system comprises: first detectors configured to detect a level of photons proportional to incident photon flux; second detectors configured to detect arrival of individual photons; a processor programmed to: receive, from the first detectors, first values indicative of photon flux from a scene with a first resolution; receive, from the second detectors, second values indicative of photon flux from the scene with a lower resolution; provide a first encoder of a trained machine learning model first flux values based on the first values, provide the second encoder of the model second flux values; receive, as output, values indicative of photon flux from the scene; and generate a high dynamic range image based on the third plurality of values.

Abstract: Aspects of this disclosure relate to a bulk acoustic wave device with a floating raised frame structure. The bulk acoustic wave device includes a first electrode, a second electrode, a piezoelectric layer positioned between the first electrode and the second electrode, and a floating raised frame structure positioned on a same side of the piezoelectric layer as the first electrode and spaced apart from the first electrode. The floating raised frame structure is at a floating potential. The bulk acoustic wave device can suppress a raised frame mode. Related methods, filters, multiplexers, radio frequency front ends, radio frequency modules, and wireless communication devices are disclosed.