Xidian University

Apple Inc.

Intel Deutschland Gmbh

Nanjing University of Aeronautics and Astronautics

Nec Corporation

Jun Zhou

Zhibin Yu

Ming Wang

Michael Einhaus

Huan Li

Jiangluqi Song

Yue Yu

Bo Yao

Dong Zhao

Xiuping Jia

Hanlin Qin

Huixin Zhou

Lixin Guo

Rui Lai

Runda Qian

Tianyan Pu

Jun Wang

Tobias Scholand

Andreas Maeder

Yuefeng Zhou

Linghang Fan

Francois Deparis

Tetsu Ikeda

Bingjian Wang

Kuanhong Cheng

Qian Xie

Yuanpeng Liu

Yanzhong Dai

Wei Jiang

Yubao Li

Jiajia Zhang

Huiqiang Zhou

Weijie Sun

Qingyun Guo

Kun Qian

Dun Liu

Donghui Guo

Daguo Li

Maosen Huang

Baoyu Sun

Xuanbing Liu

Juan Du

Ningbo Gao

Shangzhen Song

Pei Xiang

Baokai Deng

Yuanbin Shi

Yangqun Jin

Shenghui Rong

Embodiments disclosed herein provide various aspects that would allow for Vehicle to Everything (V2X) or peer-to-peer (P2P) or sidelink (SL) communications. In an embodiment, a communication device may include: a memory for storing computer-readable instructions; and processing circuitry, configured to process the instructions stored in the memory to: obtain a first path loss between the communication device and a base station, wherein the communication device is coupled to the base station; calculate a second path loss based on one or more sidelink reference signal received power (S-RSRP) indicators received by the communication device, wherein the S-RSRP indicators are received from one or more communication devices within a communication range of the communication device; and determine a transmit (Tx) power of the communication device based on the first path loss and the second path loss.

Method and apparatus for V2X communications

A method for automatic glue-spraying of stringers and inspection of glue-spraying quality based on measured data. Three-dimensional (3D) point cloud data of a stringer-skin assembly is collected by 3D laser scanner, and then processed by denoising and sampling. Feature points of an intersection line of a site to be glued of the stringer-skin assembly are extracted by K-means clustering method based on Gaussian mapping, and a minimum spanning tree is constructed based on a set of the extracted feature points. A connected region is established to obtain an initial feature intersection line of the string-skin assembly, which is optimized by random sample consensus algorithm to remove redundant small branch structures to obtain the actual glue-spraying trajectory. The quality of the glue sprayed on the stringer-skin assembly is inspected by line laser to determine positions of the defects, which are then subjected to secondary glue-spraying.

Method for automatic glue-spraying of stringer and inspection of glue-spraying quality

An interframe registration and adaptive step size-based non-uniformity correction method for an infrared image, comprising: first calculating a normalized cross-power spectrum of n-th and (n&#x2212;1)-th original infrared images with the non-uniformity, and then calculating a horizontal relative displacement and a vertical relative displacement of the n-th and (n&#x2212;1)-th original infrared images with the non-uniformity; calculating a space variance and a time variance of each pixel of the n-th original infrared image with the non-uniformity, using the obtained space variance and time variance to calculate an adaptive iterative step size of each pixel of the n-th original infrared image with the non-uniformity, and using the iterative step size to update a gain correction coefficient and a bias correction coefficient; finally, performing non-uniformity correction on the pixel in an overlapping area of the n-th and (n&#x2212;1)-th original infrared images with the non-uniformity.

Interframe registration and adaptive step size-based non-uniformity correction method for infrared image

A detection and positioning method for a train water injection port includes: acquiring train water injection port video images, and performing threshold segmentation on the train water injection port video images to obtain binarized train water injection port video images; processing the binarized train water injection port video images and matching the processed binarized train water injection port video images with a train water injection port template image; detecting a position of the water injection port in the train water injection port video image and comparing the position with a pre-set position range where the water injection port is located; and if the position and the pre-set position range have been matched, then transmitting a matching valid signal to a mechanical device control module to control a mechanical device to move or stop and start or stop water injection.

Detection and positioning method for train water injection port

A feature fusion and dense connection-based method for infrared plane object detection includes: constructing an infrared image dataset containing an object to be recognized, calibrating a position and class of the object to be recognized in the infrared image dataset, and obtaining an original known label image; dividing the infrared image dataset into a training set and a validation set; performing image enhancement preprocessing on images in the training set, performing feature extraction and feature fusion, and obtaining classification results and bounding boxes through a regression network; calculating a loss function according to the classification results and the bounding boxes in combination with the original known label image, and updating parameter values of a convolutional neural network; repeating the steps to iteratively update the parameters of the convolutional neural network; and processing images in the validation set through the parameters to obtain a final object detection result map.

Feature fusion and dense connection-based method for infrared plane object detection

A non-uniformity correction method for an infrared image based on guided and high-pass filtering includes: assigning high-frequency component of first image frame of original image sequence to first fixed pattern noise f; successively loading N-th image frame of the original image sequence with non-uniformity as current image frame, determining a difference between the current image frame and (N&#x2212;1)-th image frame to obtain (N&#x2212;1)-th differential image frame, and obtaining a relative change amplitude of each image element of (N&#x2212;1)-th image frame according to the (N&#x2212;1)-th differential image frame; and performing high-pass filtering based on a combination of a high-frequency component of the current image frame obtained through guided filtering and the relative change amplitude to obtain n-th fixed pattern noise f, and performing non-uniformity correction on the current image frame according to fto obtain a correction result of the current image frame, where N&#x2265;2, n&#x2265;2.

Non-uniformity correction method for infrared image based on guided filtering and high-pass filtering

A wireless communication device and method for filtering a power measurement of a reference signal received by a wireless communication device, by measuring, with a receiver, a current reference signal power and a current cell specific reference signal (CRS) power of the reference signal; generating, by a processor, a measurement reliability coefficient based on the current reference signal power and the current CRS power; and filtering, by a filter, the current reference signal power using the generated measurement reliability coefficient to generate a filtered reference signal power, wherein the measuring, generating, and filtering are performed in a physical layer.

Reference signal power measurement filtering

The present disclosure relates to a method for determining an impact factor of a mobile communication system, wherein reference signals of a detection space defined by an impact factor are examined. Examining in this context refers to trying to detect, hence blindly detect, cell specific reference signals. The detection space is divided into a plurality of subsets, wherein each subset of the plurality of subsets is associated with a specific value of said impact factor. The specific value of said impact factor is identified for which an existence of cell specific reference signals has been detected in the subset associated with said specific value. Thus, the system information defined by a specific value of an impact factor is blindly detected.

Method for joint cell measurement and system information identification

Growing community of inventors

Xi'an, China

Jun Zhou