Abstract: A vehicle according to the present disclosure is a vehicle that operates in response to an instruction from a management device and that can move by unmanned driving, the vehicle includes: a communication unit that communicates with the management device; a determination unit that determines a communication status between the communication unit and the management device; and a controller that controls the vehicle to perform a predetermined operation according to a traveling area in a case where determination is made that the communication between the communication unit and the management device is interrupted.

Abstract: A vehicle manufacturing system that controls a plurality of vehicles to travel in a formation during a manufacturing process or a transport process includes: detecting an abnormal vehicle in which an abnormality has occurred among the vehicles; stopping the abnormal vehicle; and causing a subsequent vehicle that travels behind the abnormal vehicle to travel so as to bypass the abnormal vehicle that is stopped.

Abstract: A vehicle management apparatus according to the present disclosure includes: a communication unit configured to perform communication with a plurality of vehicles which can move by unmanned driving; a determining unit configured to determine a communication status between the communication unit and each of the plurality of vehicles at a time interval corresponding to each traveling area of the plurality of vehicles; and a control unit configured to instruct, via the communication unit, a vehicle, which is determined to have communication interruption with the communication unit, of the plurality of vehicles to perform a predetermined operation.

Abstract: Provided are a method and a device for converting a current and a moment and a rehabilitation robot, which relate to the technical field of current moment conversion. The method is applied to a controller of a rehabilitation robot; and the method comprises: acquiring to-be-processed current data; searching for a conversion relationship corresponding to the to-be-processed current data from a pre-stored current conversion relationship table based on the to-be-processed current data, wherein the current conversion relationship table stores at least one set of corresponding relationships of current data and conversion relationship; and converting the to-be-processed current data into a corresponding target moment using the conversion relationships.

Abstract: This application relates to the field of imaging effect testing, and discloses a system for testing three-dimensional imaging effects. The system includes a head model, a binocular camera provided at eye positions of the head model, and a computing component connected to the binocular camera, the binocular camera being configured to photograph a three-dimensional image displayed or rendered on a three-dimensional display device, to obtain a first left-eye image and a first right-eye image; and the computing component being configured to output imaging effect information of the three-dimensional display device based on the first left-eye image and the first right-eye image.

Abstract: A multidirectional input device includes a housing, an operator, a rocker arm assembly, and magnetic sensing assembly. The housing defines a cavity, and the operator is pivotably disposed in the cavity. The rocker arm assembly includes a first rocker arm and a second rocker arm, at least one of the first rocker arm and the second rocker arm includes a rocker arm body and a rotating part disposed at both ends of the rocker arm body. The rotating part is disposed on the rotating part. The magnetic sensing assembly includes a magnetic member and a magnetic sensor, the magnetic member is disposed on the rotating part, the magnetic sensor is disposed on the electrical connecting member, and the magnetic member is configured to detect the rotation of the magnetic member. The magnetic member is in non-contact with the magnetic sensor, improving the service life of the sensor.

Abstract: A test device and a method for testing a photovoltaic module, for testing anti-stepping performance of the photovoltaic module. A test member is configured to abut against the photovoltaic module and apply a preset load to the photovoltaic module, to simulate force on the photovoltaic module when an operator walks on a surface of the photovoltaic module, so as to easily adjust and replace the material and the manufacturing process of the photovoltaic module according to test results, so that the photovoltaic module has stronger anti-stepping performance, thereby prolonging the service life of the photovoltaic module. The test member is provided with an abutment surface for abutting against the photovoltaic module, and an area S of the abutment surface satisfies: 50 cm2?S?400 cm2, which improves accuracy and reliability of the test results of the test device, thereby improving operation performance of the test device.

Abstract: A control system includes a moving object, an acquisition unit, and a control unit. The moving object is mounted with a component whose open-close state is changeable. The component separates an inside and an outside of the moving object in a close state. The acquisition unit acquires step information indicating a production step to be executed to the moving object. The control unit controls the open-close state of the component in such a manner that the open-close state of the component becomes the close state in a specific production step when the production step identified by the step information includes the specific production step. The specific production step is a production step in which the moving object has a possibility to contact water.

Abstract: The present application provides a self-supervised learning method performed by a computer device. The method includes: performing a data enhancement on an original medical image to obtain a first enhanced image and a second enhanced image, the first enhanced image and the second enhanced image being positive samples of each other; performing feature extractions on the first enhanced image and the second enhanced image by a feature extraction model to obtain a first image feature of the first enhanced image and a second image feature of the second enhanced image; determining a model loss of the feature extraction model based on the first image feature, the second image feature, and a negative sample image feature, the negative sample image feature being an image feature corresponding to other original medical images; and training the feature extraction model based on the model loss.

Abstract: A control device includes: an acquisition unit that acquires detection data from a sensor that detects a running state of a vehicle that is able to run by unmanned driving; a determination unit that determines whether or not the vehicle is located in a specific area in which the detection data is susceptible to an influence of disturbance; and a running control unit that is able to control the running of the vehicle using the detection data, and, when the determination unit determines that the vehicle is located in the specific area, lowers a degree of contribution of the detection data to running control of the vehicle compared to a case where the determination unit determines that the vehicle is located outside the specific area.

Abstract: A test device and a method for testing a photovoltaic module, for testing anti-stepping performance of the photovoltaic module. The test device includes first and second test members spaced apart along a first direction. The first and second test members are configured to abut against the photovoltaic module and apply a preset load to the photovoltaic module. The first test member is at a first position when the first test member abuts against the photovoltaic module, the second test member is at a second position when the second test member abuts against the photovoltaic module, and along a movement direction of the first and second test members in a horizontal plane, the first and second positions are alternately spaced apart, to simulate force on the photovoltaic module when an operator walks on the photovoltaic module.

Abstract: Provided are a non-contact live detection apparatus and a live detection method. The non-contact live detection apparatus includes a processing unit and a detection unit and an image collection unit which are both communicatively connected to the processing unit. The detection unit includes an electromagnetic wave sensor and at least three ultrasonic sensors. The image collection unit is configured to collect an insulation defect picture of an overhead power line detected by the detection unit. The processing unit is configured to obtain the spatial coordinates, two-dimensional pixel coordinates, electromagnetic wave intensity, and ultrasonic intensity of an insulation defect location according to a detection result of the detection unit and perform identification on the insulation defect picture.

Abstract: Provided are a non-contact live detection apparatus and a live detection method. The non-contact live detection apparatus includes a processing unit and a detection unit and an image collection unit which are both communicatively connected to the processing unit. The detection unit includes an electromagnetic wave sensor and at least three ultrasonic sensors. The image collection unit is configured to collect an insulation defect picture of an overhead power line detected by the detection unit. The processing unit is configured to obtain the spatial coordinates, two-dimensional pixel coordinates, electromagnetic wave intensity, and ultrasonic intensity of an insulation defect location according to a detection result of the detection unit and perform identification on the insulation defect picture.

Abstract: Provided is a method for searching for a whole slide image performed by a computer device, which relate to the field of artificial intelligence. The method includes: cropping a whole slide image into a plurality of tissue images; generating, through an image encoder, image feature vectors respectively corresponding to the plurality of tissue images; clustering the image feature vectors respectively corresponding to the plurality of tissue images, to determine at least one key image from the plurality of tissue images; querying, based on image feature vectors respectively corresponding to the at least one key image, a database to obtain at least one target image package corresponding to the at least one key image; and determining a whole slide image to which at least one candidate tissue image comprised in the at least one target image package respectively belongs as a final search result.

Abstract: An image detection method and apparatus are disclosed.

Abstract: The present invention discloses a method and an apparatus for rebuilding a relightable implicit human body model. A human body is represented as a deformable implicit neural representation, and a geometric shape, material attributes, and ambient lighting of the human body are decomposed to obtain a relightable and drivable implicit human body model. In addition, a volumetric lighting grid including a plurality of spherical Gaussian models is introduced to represent complex lighting with spatial variation, and visible probes capable of changing in position with change in human pose are introduced to record dynamic self-occlusion caused by human motion. With the method, drivable implicit models capable of being used for high-fidelity human body relighting may be generated in cases of sparse video input and even monocular input.

Abstract: The present disclosure provides an application log coding output method, a device, a system, and a computer readable storage medium. The method comprises: loading a conversion appender using an extension mechanism of a native logger, loading a log converter and a native appender for outputting a log message using the conversion appender, the log converter comprising one or more log sub-converters, and loading the log sub-converters specified by an initialization parameter using the log converter; receiving the log message sent by the native logger using the conversion appender, scheduling the log sub-converters specified by the initialization parameter to execute log coding, and sending the processed log to the native appender for secure output. By using the method, diversified log coding output can be achieved without retrofitting an application, and the method is more friendly to developers.

Abstract: Provided is a method for searching for a whole slide image performed by a computer device, which relate to the field of artificial intelligence. The method includes: cropping a whole slide image into a plurality of tissue images; generating, through an image encoder, image feature vectors respectively corresponding to the plurality of tissue images; clustering the image feature vectors respectively corresponding to the plurality of tissue images, to determine at least one key image from the plurality of tissue images; querying, based on image feature vectors respectively corresponding to the at least one key image, a database to obtain at least one target image package corresponding to the at least one key image; and determining a whole slide image to which at least one candidate tissue image comprised in the at least one target image package respectively belongs as a final search result.

Abstract: An internal and external coupling shear resistance locking control system and monitoring method of tunnel surrounding rocks, comprises an internal shear resistance and monitoring system of tunnel surrounding rocks, an external shear resistance and monitoring system of tunnel surrounding rocks, a relative shear displacement monitoring system of the tunnel walls and the roof and floor layers, and an anchor agent installation system; holes are expanded in the anchor cable drilling holes passing through coal-rock interface areas of the coal walls and roof and floor rock layers to form shear misalignment tolerance cavities; monitoring pressure values of measuring bags and liquid discharge in the shear misalignment tolerance cavities to determine shear deformations of the shear misalignment tolerance cavities, monitoring forces on anchor cables, compensating pull rods and shear resistance steel strips, and adjusting the shear resistance of the anchor cable and steel belt through the compensation rod structure.

Abstract: A method for perceiving a road environment, a vehicle control method, a training method, an electronic device, an autonomous driving vehicle, and a storage medium, which relate to fields of artificial intelligence technology, computer vision, deep learning and large model technologies, and may be applied to scenarios such as autonomous driving and unmanned driving. The method for perceiving a road environment includes: acquiring an associated-region lane attribute and an information to be detected, where the information to be detected is collected by an onboard sensor and represents a target region where a vehicle is traveling, the associated-region lane attribute corresponds to an associated region, and the associated region and the target region meet a predetermined similarity condition; and processing the associated-region lane attribute and the information to be detected by using an onboard perception model to obtain a road perception information of the target region.