Abstract: A driving support device include an imaging device for capturing an image of at least a front of the vehicle, and a control device for, detecting that the vehicle is approaching a merging section where a first road on which the vehicle is traveling and a second road having a height difference with respect to the first road merge with each other, identifying an image of a road surface of the merging section from the image when it is detected that the vehicle is approaching the merging section, for detecting that the road surface is irradiated with light emitted from another vehicle traveling on the second road based on luminance in the image, and performing a processing of avoiding contact between the vehicle and the other vehicle when it is detected that the road surface is irradiated with the light emitted.

Abstract: Methods and systems for providing automated asset management are provided. In embodiments, an asset data collector is configured to automatically collect asset data associated with assets in an intermodal facility according to a mission plan. An automated data collection configurator is configured to configure the mission plan based on one or more parameters and to instantiate the asset data collector to initiate collection of the asset data according to the mission plan. An automated asset data analyzer is configured to identify data in which one or more assets appear, to identify the one or more assets detected in the set of data, to inspect, based on the set of data in which the one or more assets are detected, the one or more assets to determine a condition of the one or more assets, and to output the condition of the one or more assets.

Abstract: Systems, apparatuses, and methods are described for wireless communications. A wireless device may distribute power for various transmission types based on a priority, which may be received from a base station.

Abstract: There is provided mechanisms for beam selection. A method is performed by a first radio transceiver device. The method comprises obtaining link quality estimates of a radio signal conveyed to the first radio transceiver device from a second radio transceiver device by means of at least a first beam taken from a first beam set and a second beam. The second beam is wider than the first beam. The method comprises selecting which one of the first beam and the second beam to use for continued communications of radio signals with the second radio transceiver device in accordance with a comparison between the link quality estimates of the first beam and compensated link quality estimates of the second beam.

Abstract: Disclosed herein are various methods of calibrating relative orientation between spatial orientation sensors, relative orientation between imaging sensor and spatial orientation sensor, and relative orientation between imaging sensors. The relative orientation of the spatial orientation sensors, imaging sensors is calculated with respect to a reference frame.

Abstract: An object detection method of effectively increasing identification accuracy is applied to a camera apparatus and includes acquiring a reference image and a second reference image containing a specific surveillance area respectively via a first exposure parameter and a second exposure parameter greater than the first exposure parameter, utilizing the first exposure parameter and the second exposure parameter to respectively capture a first detection image and a second detection image during an object detection period, computing a first pixel value variation between the first reference image and the first detection image and a second pixel value variation between the second reference image and the second detection image, and comparing the first pixel value variation with the second pixel value variation to determine whether a target object is within the specific surveillance area.

Abstract: A video clip showing a wellsite activity can be extracted from a video and then labeled for use in training a machine-learning model in some examples described herein. In one such example, a system can train a model with a set of training data to identify an object and a corresponding spatial location of the object in each image frame in a video depicting a wellsite activity. The system can analyze image frames in the video using the trained model to identify a target image frame in which the object is present in a predefined spatial area thereof, where the predefined spatial area is associated with the wellsite activity. The system can then generate a video clip that includes only a subpart of the video based on the target image frame, where the subpart includes a series of consecutive image frames containing the target image frame.

Abstract: A programmable semiconductor device contains a wireless communication block (“WCB”) capable of facilitating wirelessly field programmable gate array (“FPGA”) programming download as well as functional logic implementation. In one aspect, WCB detects an FPGA access request for initiating an FPGA reconfiguration from a remote system via a wireless communications network. Upon receiving a configuration bitstream for programming the FPGA via the wireless communications network, the configuration bitstream is forwarded from WCB to a configuration download block (“CDB”) for initiating a configuration process. CDB subsequently programs at least a portion of configurable logic blocks (“LBs”) in FPGA in response to the configuration bitstream.

Abstract: A method and a device for generating an emoticon are provided. A first expression tag list corresponding to a face image in a portrait is acquired by inputting the face image into an expression recognition model. Additionally, at least one label text corresponding to the face image is determined based on the first expression tag list and a correspondence between a preset text and a second expression tag list. Furthermore, an expression image corresponding to the portrait is determined, where the face image is a part of the expression image. Moreover, an emoticon is generated by labelling the expression image with the at least one label text.

Abstract: The disclosure includes a system and method for detecting liveness including generating a first cue for presentation to a user via a client device, the first cue for inducing a first action when the user is live; receiving sensor data representing a first reaction by the user to the first cue; determining, based on the first reaction, whether the first reaction satisfies a threshold; and determining that the user is live based on a determination that the first reaction satisfies a threshold.

Abstract: The disclosure relates to a 5G or pre-5G communication system for supporting higher data transmission rates than 4G communication systems such as LTE systems. According to an embodiment, a method performed by a base station supporting beam training using a beamforming codebook may comprise storing a plurality of codebooks corresponding to a plurality of different beamwidths, receiving a beam adjustment request from a user equipment (UE), determining, among the plurality of codebook, a codebook including beam codebooks for beam coverages including a beamwidth corresponding to a channel state of the UE, in response to receiving the beam adjustment request, and transmitting, to the UE, signals that are beamformed based on the codebook through a plurality of transmission beams using digital beamforming matrixes of the codebook.

Abstract: This facial authentication device is provided with: a detecting means for detecting a plurality of facial feature point candidates, using a plurality of different techniques, for at least one facial feature point of a target face, from a plurality of facial images containing the target face; a reliability calculating means for calculating a reliability of each facial image, from statistical information obtained on the basis of the plurality of detected facial feature point candidates; and a selecting means for selecting a facial image to be used for authentication of the target face, from among the plurality of facial images, on the basis of the calculated reliabilities.

Abstract: Fog computing systems are provided comprising edge-nodes and middle-nodes between edge-nodes and cloud-node. These nodes form a hierarchical structure with each cloud, middle node having children nodes, and each middle, edge node having a parent-node. Each edge-node receives data from sensors, assigns reception-timestamp to each data indicating when data has been received to produce series of timestamp-ordered data, trains local model through machine-learning based on said series of timestamp-ordered data, and sends said series to parent-node of the edge-node. Each middle-node collects series of timestamp-ordered data from children nodes of the middle-node, trains supra-local model through machine-learning based on said collected series of timestamp-ordered data, and sends said collected series to parent-node of the middle-node. Parent-children structures, edge-nodes and middle-nodes for such fog computing systems are also provided.

Abstract: A memory interface may include a transmitter that generates multi-level signals. The transmitter may employ channel equalization to improve the quality and robustness of the multi-level signals. The channel equalization may be controlled independently from the drive strength of the multi-level signals. For example, a first control signal may control the de-emphasis or pre-emphasis applied to a multi-level signal and a second control signal may control the drive strength of the multi-level signal. The first control signal may control a channel equalization driver circuit and the second control signal may control a driver circuit.

Abstract: Provided is an image acquisition apparatus including a first hyperspectral image sensor configured to obtain a first image, and a processor configured to process the first image obtained by the first hyperspectral image sensor, wherein the processor is further configured to extract a spectrum of each pixel of the first image obtained by the first hyperspectral image sensor, correct the spectrum by normalizing the spectrum of each pixel, distinguish an object from a background within the first image by recognizing a pattern of the spectrum of each pixel, and correct a color of the object and a color of the background by using a spatial distribution of illuminations.

Abstract: The present disclosure relates to a method of encoding a three-dimensional image including a point cloud. According to an embodiment of the present disclosure, a method of encoding a three-dimensional image may include determining a spatial area in a three-dimensional space represented by the point cloud, projecting, onto a two-dimensional plane, a plurality of points included in the point cloud to generate a plurality of patches, determining at least one patch corresponding to the determined spatial area, down-sampling at least one patch according to a predefined rule, generating a two-dimensional image by packing the at least one down-sampled patch and the plurality of patches corresponding to areas other than the determined spatial area, and generating and outputting a bitstream including data in which the two-dimensional image is compressed and information related to the down-sampling performed to generate the two-dimensional image.

Abstract: Methods and systems for detecting motion using video data from a smart camera device. In some embodiments, and by non-limiting example, this disclosure is directed to detecting motion in the compressed video domain. One aspect is a method comprising receiving compressed video data, extracting macroblocks and motion vectors for a plurality of frames in the compressed video data, identifying frame-level features for each of the plurality of frames based on the macroblocks and the motion vectors, calculating similarity features for each of the identified frame-level features based on the frame-level features identified in consecutive frames, and predicting motion for each of the plurality of frames by providing the frame-level features and the similarity features into a model trained to detect motion.

Abstract: A sales management system includes a first device including a first processor that is configured to detect a customer moving an item of merchandise in an extraction direction away from a merchandise display, a second device including a second processor that is configured to detect movement of an item of merchandise from the merchandise display and determine a movement direction thereof, and a third processor that is configured to determine whether the extraction and movement directions are substantially identical when the first processor detects the customer moving an item away from the merchandise display and the second processor detects movement of an item from the merchandise display at substantially the same time, and determine the item as a first merchandise to be purchased by the customer when the extraction and movement directions are determined to be the substantially identical.

Abstract: The present disclosure relates to an XR device and a method for controlling the same, and more particularly, is applicable to a 5G communication technology field, a robot technology field, an autonomous technology field and an artificial intelligence (AI) technology field. The method for controlling an XR device of a vehicle includes acquiring a camera view by capturing an image in front of the vehicle; acquiring position information of the vehicle by detecting a position of the vehicle, acquiring movement information of the vehicle by detecting movement of the vehicle, and providing navigation of an augmented reality (AR) mode displaying at least one virtual object for guiding a path by overlapping the at least one virtual object on the camera view based on at least the position information of the vehicle or the movement information of the vehicle.

Abstract: A terminal apparatus includes a coding unit configured to divide a transport block into one or more code blocks and generate coded bit(s) by coding the one or more code blocks; and a transmitter configured to transmit the coded bit(s) by using a channel, wherein multiplex bit(s) are given based on at least coupling of the coded bit(s) generated by coding of the one or more code blocks, the coding unit maps the multiplex bit(s) to a matrix in a first-axis prioritized manner and reads the multiplex bit(s) from the matrix in the first-axis prioritized manner or in a second-axis prioritized manner, and whether the first axis or the second axis is prioritized in a case that the multiplex bit(s) are read from the matrix is given based on at least whether a signal waveform applied to a prescribed channel is an OFDM.