Huawei Technologies Co., Limited

Nxp USA, Inc.

Tongji University

Janssen Pharmaceutica Nv

Medshine Discovery Inc.

Nxp B.v.

Sabic Innovative Plastics IP B.v.

Shenzhen Yinwang Intelligent Technologies Co., Ltd.

Other

Koninklijke Philips Corporation N.v.

Delta Electronics, Inc.

Shanghai Micro Electronics Equipment Co., Ltd.

Fujian Akeylink Biotechnology Co., Ltd.

Sabic Global Technologies B.v.

Comba Telecom System (China) Ltd

Yong Wang

Shuhui Chen

Charles Z Ding

Bin He

Fei Chen

James Patrick Edwards

Kevin Douglas Kreutter

Lihong Hu

Mark S Tichenor

Joseph Kent Barbay

Jian Li

Jian Yu

Wei Zhu Chen

Jennifer Diane Venable

Jianmei Wei

Kun Xiao

John J M Wiener

Genesis M Bacani

Charlotte Pooley Deckhut

Nidhi Arora

Scott D Bembenek

Yan Chen

Zheng Zhang

Yong Xu

Lie Li

Haoren Zhu

Li Wang

Cuili Ge

Zhixian Xiang

Zheng Wang

Cong Wang

Hui Liu

Guoping Hu

Kun Peng Wang

Weidong Li

Dechang Wang

Jinfa Zhang

Weisheng Jin

Yang Xin

Hongxing Wang

Chun Sing Li

Xin Huang

Min Cai

Yang Shen

Jiru Meng

Ping Zhao

Brahmananda Ghosh

Yaoping Zhu

Yao Wu

Runjie Shen

Feihuang Zhang

Xiongbin Xu

Zhipeng Wang

Lu Huang

Cailin Wang

Xuehai Wang

Ping Lu

Ronghua Tu

Hailiang Chen

Lun Lu

Wenjie Sun

Yanmin Zhou

Zhongpan Zhu

Baoyu Hao

Jie Shen

Zhibo Zhang

Yang YuE

Jimeng Wang

Biao Deng

Zhaohui Qu

Thomas Arnold Ebeling

Srinivas Siripurapu

Zhaozhong Ding

Han Li

David Zou

Dengyu Jiang

Huan Mao

Soumyadeb Ghosh

Zhiyong Yang

Bin Cheng

Xiaoming Shi

Ling Zhu

Fei Xie

Jianzhao Li

Ting Yao

Lihua Lin

Xiangping David Zou

Sanjay Gurbasappa Charati

Yang Yue

Qingqing Lu

Xueren Yang

Jun Ming Guan

Wenyu Shang

Xiaoping Li

Yingsheng Li

Kun Wang

Zhigang Chi

Yuanhui Liu

Yong Cang

Tunnel defect detecting method and system using unmanned aerial vehicle (UAV) are provided, and the UAV is equipped with a light-emitting diode (LED) module, a camera, a laser radar, an ultrasonic distance meter and an inertial measurement unit (IMU). The method includes: collecting images in a tunnel based on the LED module and the camera to obtain a training image set; training by using the training image set to obtain a defect detecting model, collecting real-time tunnel images, detecting suspected defects to the real-time tunnel images by the defect detecting model, obtaining pose information of the UAV based on the camera, the laser radar, the ultrasonic distance meter and the IMU to control the UAV to hover. The method can realize accurate pose estimation and defect detection in the tunnel with no GPS signals and highly symmetrical inside.

Tunnel defect detecting method and system using unmanned aerial vehicle

The embodiment of this present disclosure provides a control method of unmanned aerial vehicle (UAV) hovering in tunnel, which comprises the following steps: acquiring hovering information of hovering position of UAV; acquiring the position information of the current position of the UAV; determining flight parameters based on hovering information and position information. The flight parameters are used to control the UAV to move from the current position to the hovering position.

Method and system for hovering control of unmanned aerial vehicle in tunnel

The present disclosure relates to a detection method and system for an underground space by joint use of fixed sensors and unmanned aerial vehicle (UAV) movement detection. The detection system includes underground space sensor nodes and an underground space UAV. The underground space sensor nodes are configured to perform fixed monitoring based on an adaptive optimal layout strategy for an underground structural space. The underground space UAV is configured to calculate a first virtual force, and realize movement detection by means of a virtual force-guided path planning algorithm. The underground space UAV is configured to calculate the first virtual force based on the electronic telescopic anti-collision bars, a second virtual force based on a static perception probability and a third virtual force based on structural evolution knowledge, and realize a fixed node-guided UAV flight detection mode by means of the virtual force-guided path planning algorithm.

Detection method and system for underground space by joint use of fixed sensor and UAV movement detection

In an example method, a second node receives a pairing request message from a first node. The pairing request message includes information used to indicate whether the first node has a pre-shared key (PSK) pairing capability. The second node sends a pairing response message to the first node in response to that the pairing request message includes information used to indicate that the first node has the PSK pairing capability. The pairing response message is used to indicate to perform pairing by using a shared first PSK. The second node authenticates the first node based on the first PSK.

Bluetooth node pairing method and related apparatus

An upgrade method and an apparatus are provided, and relate to the field of internet of vehicles technologies. When a plurality of devices in an intelligent connected vehicle need to be upgraded, upgrade efficiency and a download speed can be improved, and a load and a storage requirement of a telematics box or a gateway can be reduced. The method includes: receiving upgrade information of a first apparatus from an over the air (OTA) node; establishing a first channel with a server based on the upgrade information of the first apparatus; receiving an upgrade package of the first apparatus from the server through the first channel; and performing upgrade based on the upgrade package of the first apparatus.

Upgrade method and apparatus based on an upgrade package from a server

An unmanned aircraft identity module and a storage method relate to the field of electronic technologies, and implement information reading and information tracking of an unmanned aircraft over a whole life cycle thereof. The method includes: obtaining a physical identifier of an unmanned aircraft, and writing the physical identifier into a non-rewritable memory area, where the physical identifier is an unmodifiable hardware identifier of the unmanned aircraft; obtaining an access identifier of the unmanned aircraft, and writing the access identifier into an authorizedly rewritable memory area, where the access identifier is a subscription service identifier of the unmanned aircraft; and obtaining an application identifier of the unmanned aircraft, and writing the application identifier into a repeatedly rewritable memory area, where the application identifier is a flight-related identifier of the unmanned aircraft.

Unmanned aircraft identity module and storage method

In an implementation, a first electronic control unit (ECU) performs an operation using a first key and a first fresh value to generate a keystream; performs an exclusive OR operation using the keystream and a to-be-transmitted first plaintext packet to generate a first ciphertext packet; and sends the first ciphertext packet to a second ECU. The first fresh value is a value generated by a counter in the first ECU when the first ECU transmits a packet, and the counter is configured to record a quantity of packets transmitted by the first ECU. The first ECU transmits the first ciphertext packet to the second ECU. This can prevent the first packet transmitted by the first ECU from being eavesdropped on, and help improve confidentiality of the packet transmitted by the first ECU.

Communication method and apparatus

Receiving a first request message from a first apparatus through a first secure channel, where the first request message includes an identifier of an electronic control unit of a vehicle; obtaining a first key based on the identifier and security information of the first secure channel; and establishing a second secure channel with the electronic control unit based on the first key, where the second secure channel is used for communication between a cloud server and the electronic control unit.

Communication method and related product

The method includes: obtaining point cloud information collected by a depth camera, laser information collected by a lidar, and motion information of an unmanned aerial vehicle (UAV); generating a raster map based on the laser information, and obtaining pose information of the UAV based on the motion information; obtaining a map model through fusing the point cloud information, the raster map, and the pose information by a Bayesian fusion method; and correcting a latest map model by feature matching based on a previous map model.

Methods and systems for modeling poor texture tunnels based on vision-lidar coupling

Disclosed is an unmanned aerial vehicle (UAV) positioning method based on a millimeter-wave radar, including a calibration stage and a positioning stage. The calibration stage includes: acquiring ground coordinates of the unmanned aerial vehicle; and extracting feature points from radar point cloud data and get the ground coordinates of the feature points. The positioning stage includes: acquiring radar point cloud data of a current frame and pre-processing; acquiring UAV motion data and fuse the data with radar point cloud data; extracting characteristic line segment from radar point cloud data; registering the characteristic line segment of the current frame with the characteristic line segment of the previous frame, and finding matching feature points and newly added feature points; and obtaining the ground coordinates of UAV and the ground coordinates of newly added feature points based on the ground coordinates of matched feature points on the map.

Unmanned aerial vehicle positioning method based on millimeter-wave radar

This application provides a method for identifying a terminal device and a communications apparatus. A core network element obtains classification information for classifying a terminal device, and then determines, based on the classification information and a parameter of a first terminal device, a type of the first terminal device, to identify the first terminal device. In this process, the core network element identifies the first terminal device in a supervision area by using the classification information and the parameter of the first terminal device, to identify a terminal device that is not registered in a supervision system, thereby improving security of the terminal device.

Method for identifying terminal device and communications apparatus

A system and a method are provided for feasibility evaluation of UAV Digital Twin based on Vicon motion capture system is disclosed, which establishes a mission feasibility evaluation model according to flight history data of a target UAV acquired by the UAV Digital Twin system. The mission feasibility evaluation model includes a UAV trajectory prediction module and a mission feasibility determination module. The UAV trajectory prediction module acquires real-time position and attitude information of the target UAV according to the Vicon motion capture system, and predicts target flight trajectory of the target UAV according to the real-time position and attitude information. The mission feasibility determination module compares the position difference between an end point of the target flight trajectory and preset designated mission point to evaluate feasibility of target mission of the target UAV.

Method for feasibility evaluation of UAV digital twin based on vicon motion capture system

This application provides an unmanned aerial vehicle authentication method and an apparatus. The method includes: sending, by a communications device after determining that a type of a terminal is a UAV, authentication information of the terminal to an authentication server, so that the authentication server can perform authentication on the terminal based on the authentication information of the terminal, and therefore, the authentication server completes authentication on the terminal. In addition, the unmanned aerial vehicle is allowed to fly only after authentication on the terminal succeeds. Therefore, flight security of the unmanned aerial vehicle can be improved.

Unmanned aerial vehicle authentication method and apparatus

Provided are a uracil compound represented by Formula (IV) or a pharmaceutically acceptable salt thereof and a pharmaceutical composition of the same. Also provided is a use thereof as a c-MET/AXL inhibitor in preparing a c-MET/AXL-inhibiting drug or a drug for treating a tumor. 

Uracil compound as c-MET/AXL inhibitor

A method for detecting objects in a charging area of a wireless charging transmitter includes providing a bridge circuit that generates a ping signal, and providing the ping signal to a transmitter terminal. The method further includes monitoring at least one of a current of a power supply connected to the bridge circuit, and a current at the transmitter terminal to determine if an eligible object is in the charging area. The ping signal has parameters including frequency, duty cycle, and phase shift angle, where at least one of these parameters varies with time.

Method and apparatus for detecting objects in charging area of wireless charging transmitter

Growing community of inventors

Shanghai, China

Yong Wang