Abstract: An air-ground joint trajectory planning and offloading scheduling method and system for distributed multiple objectives is provided. At the beginning of each timeslot, an unmanned aerial vehicle (UAV) selects a flight direction based on a total energy consumption of all devices and a total amount of unprocessed data of all the devices in the current system, and flies a fixed distance towards a certain direction. Before the UAV reaches a new location, each terrestrial user independently selects a task data offloading scheduling strategy based on the total energy consumption of all the devices and the total amount of the unprocessed data of all the devices in the current system. In order to improve an expected long-term average energy efficiency and data processing capability, the present disclosure also provides average feedbacks for an energy consumption and unprocessed data.

Abstract: A multi-phase regulator circuit includes one or more switching converter circuits. Each switching converter circuit includes a transformer including a primary winding and a multi-segment secondary winding, a primary side switch circuit configured to connect the primary winding to an input of the multi-phase regulator circuit, and multiple secondary side circuits including multiple coupled-inductor circuits. Each coupled-inductor circuit includes a first winding magnetically coupled to a second winding. Each segment of the transformer multi-segment secondary winding is operatively coupled to the first winding of a coupled-inductor circuit and each of the first windings is connected to an output of the multi-phase regulator circuit.

Abstract: Provided is an aggregation index structure and an aggregation index method for improving aggregation query efficiency. The aggregation index partitions streaming data through two dimensions of grouping and slicing, and then aggregates the partitioned data. The structure includes index metadata, a sliced data list and a detailed data store; the aggregation index method includes three parts: aggregation index definition, aggregation index creation and aggregation index query. The aggregation index structure and method provided by the present disclosure can greatly improve the efficiency of aggregation query, support the ad hoc aggregation query of PB-level data, complete the aggregation query of a large amount of data in seconds, support the insertion of new data at any time, and return the query results in minutes or even seconds latency in the event of changes of the query range conditions.

Abstract: Embodiments of the disclosure provide a capacitance measurement method, system and apparatus, an electronic device, and a storage medium. The method is applied to a machine table and includes: obtaining a calibration file including multiple first capacitance values corresponding to a measurement probe card while the measurement probe card is floating; measuring, by the measurement probe card, multiple semiconductor devices simultaneously to obtain multiple second capacitance values corresponding to the multiple semiconductor devices, the multiple semiconductor devices being located on a same test module of a semiconductor chip; and determining target capacitance values of the multiple semiconductor devices based on the multiple first capacitance values and the multiple second capacitance values.

Abstract: A method for performing at least one perception task associated with autonomous vehicle control includes receiving a first dataset and identifying a first object category of objects associated with the plurality of images, the first object category including a plurality of object types. The method also includes identifying a current statistical distribution of a first object type of the plurality of object types and determining a first distribution difference between the current statistical distribution of the first object type and a standard statistical distribution associated with the first object category. The method also includes, in response to a determination that the first distribution difference is greater than a threshold, generating first object type data corresponding to the first object type, configuring at least one attribute of the first object type data, and generating a second dataset by augmenting the first dataset using the first object type data.

Abstract: The present disclosure relates to a method for monitoring a probe condition, a test system, a computer device, and a storage medium. The method for monitoring a probe condition includes: acquiring test data of a sensitive test parameter which is obtained by a probe under a preset needle depth, wherein the sensitive test parameter is a test parameter sensitive to a contact resistance between the probe and a structure under test; and monitoring a condition of the probe according to the test data of the sensitive test parameter.

Abstract: A computer-implemented system and method for semantic localization of various objects includes obtaining an image from a camera. The image displays a scene with a first object and a second object. A first set of 2D keypoints are generated with respect to the first object. First object pose data is generated based on the first set of 2D keypoints. Camera pose data is generated based on the first object pose data. A keypoint heatmap is generated using the camera pose data. A second set of 2D keypoints is generated with respect to the second object based on the keypoint heatmap. Second object pose data is generated based on the second set of 2D keypoints. First coordinate data of the first object is generated in world coordinates using the first object pose data and the camera pose data. Second coordinate data of the second object is generated in the world coordinates using the second object pose data and the camera pose data. The first object is tracked based on the first coordinate data.

Abstract: A method and system for an augmented reality assistant that recognizes a step in a product assembly process and assists in the installation of a constituent component into a base component. That system having a prepopulated database of templates, the templates being generated based off of two-dimensional images and the related three-dimensional models. The template database is used to train a first machine learning model, that model configured to identify the step in the product assembly process based on an image captured from an image capture device. Verifying that determination by a second machine learning model. Presenting an AR assistant to the user to assist with that step based on the related template.

Abstract: Methods and systems for determining a 6D pose of an object in an image are disclosed. In embodiments, an input image is received from a sensor, wherein the input image includes an object in the image. A trained image encoder transforms the input image into a normal map and an instance segmentation map. The normal map is encoded with pointwise 2D features. A 3D CAD model is selected from memory that resembles the object in the image. The 3D CAD model is encoded with pointwise 3D features. The pointwise 2D features are matched with the pointwise 3D features to obtain correspondences between the 2D features and the 3D features. The 6D pose of the object is then determined based on the correspondences.

Abstract: A method and system for an augmented reality assistant that recognizes a step in a product assembly process and assists in the installation of a constituent component into a base component. That system having a prepopulated database of templates, the templates being generated based off of two-dimensional images and the related three-dimensional models. The template database is used to train a first machine learning model, that model configured to identify the step in the product assembly process based on an image captured from an image capture device. Verifying that determination by a second machine learning model. Presenting an AR assistant to the user to assist with that step based on the related template.

Abstract: A helmet and a method and system for controlling a digital visor of a helmet are disclosed herein. The helmet includes a visor screen having a plurality of liquid crystal display (LCD) pixels, with each LCD pixel configured to alter in transparency. The helmet also includes a light sensor configured to detect incident light. The helmet also includes a controller coupled to the visor screen and the light sensor. The controller is configured to alter the transparency of the plurality of LCD pixels based on the incident light. In embodiments, the controller can alter the transparency of the LCD pixels based on the direction and/or intensity of the incident light.

Abstract: A system and method are disclosed herein for developing robust semantic mapping models for estimating semantic maps from LiDAR scans. In particular, the system and method enable the generation of realistic simulated LiDAR scans based on two-dimensional (2D) floorplans, for the purpose of providing a much larger set of training data that can be used to train robust semantic mapping models. These simulated LiDAR scans, as well as real LiDAR scans, are annotated using automated and manual processes with a rich set of semantic labels. Based on the annotated LiDAR scans, one or more semantic mapping models can be trained to estimate the semantic map for new LiDAR scans. The trained semantic mapping model can be deployed in robot vacuum cleaners, as well as similar devices that must interpret LiDAR scans of an environment to perform a task.

Abstract: A method and device for performing a perception task are disclosed. The method and device incorporate a dense regression model. The dense regression model advantageously incorporates a distortion-free convolution technique that is designed to accommodate and appropriately handle the varying levels of distortion in omnidirectional images across different regions. In addition to distortion-free convolution, the dense regression model further utilizes a transformer that incorporates an spherical self-attention that use distortion-free image embedding to compute an appearance attention and uses spherical distance to compute a positional attention.

Abstract: A system and method are disclosed herein for developing a machine perception model in the omnidirectional image domain. The system and method utilize the knowledge distillation process to transfer and adapt knowledge from the perspective projection image domain to the omnidirectional image domain. A teacher model is pre-trained to perform the machine perception task in the perspective projection image. A student model is trained by adapting the pre-existing knowledge of the teacher model from the perspective projection image domain to the omnidirectional image domain. By way of this training, the student model learns to perform the same machine perception task, except in the omnidirectional image domain, using limited or no suitably labeled training data in the omnidirectional image domain.

Abstract: In one embodiment, a request is sent to an image registry for at least one virtual environment image block of an image for a virtual environment. The at least one virtual environment image block is processed upon reception of the at least one virtual environment image block from the image registry. The processed at least one virtual environment image block is communicated to a worker node that is to execute the virtual environment.

Abstract: A system of a virtual visor includes one or more sensors configured to receive input data including images, wherein the one or more sensors includes at least a camera utilized in the virtual visor, a processor in communication with the one or more sensors. The processor is programmed to create a training dataset utilizing at least the input data, utilizing the training dataset, create a classification associated with a shadow mask region and a first face region associated with a first face, segment the shadow mask region and the first face region from the training data set, and output a shadow representation via the virtual visor and utilizing the shadow mask region, the first face region, and a second face region associated with a second face.

Abstract: A helmet and a method and system for controlling a digital visor of a helmet are disclosed herein. The helmet includes a visor screen having a plurality of liquid crystal display (LCD) pixels, with each LCD pixel configured to alter in transparency. The helmet also includes a light sensor configured to detect incident light. The helmet also includes a controller coupled to the visor screen and the light sensor. The controller is configured to alter the transparency of the plurality of LCD pixels based on the incident light. In embodiments, the controller can alter the transparency of the LCD pixels based on the direction and/or intensity of the incident light.

Abstract: A virtual visor in a vehicle includes a screen with various regions that can alternate between being transparent and being opaque. A camera captures an image of the driver's face. A processor performs facial recognition or the like based on the captured images, and determines which region of the screen is transitioned from transparent to opaque to block out the sun from shining directly into the driver's eyes while maintaining visibility through the remainder of the screen. Low power monitors can be independently run on the vehicle, asynchronously with the algorithms and image processing that controls which region of the screen to be opaque. The monitors consume less power than operating the virtual visor continuously. Based on trigger conditions as detected by the monitors, the image processing and thus the alternating between opaque and transparent is ceased to save power until the trigger condition is no longer present.

Abstract: A synchronous display method, a storage medium and an electronic device are provided. The method includes: screenshot information of a first terminal is acquired, and the screenshot information into a bitmap corresponding to the screenshot information is converted; a rotation state of a screen of the first terminal is acquired; and when it is determined that the screen rotates according to the rotation state, a transposition operation corresponding to the rotation state is performed on the bitmap, the bitmap after the transposition operation is converted into a picture byte stream, and the picture byte stream is transmitted to a second terminal to synchronously display the screenshot information corresponding to the bitmap.

Abstract: A virtual visor system is disclosed that includes a visor having a plurality of independently operable pixels that are selectively operated with a variable opacity/transparency. A camera captures images of the face of a driver or other passenger and, based on the captured images, a controller operates the visor to automatically and selectively darken a limited portion thereof to block the sun or other illumination source from striking the eyes of the driver, while leaving the remainder of the visor transparent. The virtual visor system advantageously eliminates unnecessary obstructions to the driver's view while also blocking distracting light sources, thereby improving the safety of the vehicle.