Beijing Xiaomi Mobile Software Co., Ltd.

Huawei Technologies Co., Limited

China Mobile Communications Corporation

Baidu Online Network Technology (beijing) Co., Ltd.

Beijing Jiaotong University

W.h.p.m Bioresearch and Technology Co., Ltd.

Apollo Intelligent Driving Technology (beijing) Co., Ltd.

Yunfei Zhang

Peyman Yadmellat

Seyed Masoud Nosrati

Xiaodong Duan

Hengshuai Yao

Hao Chen

Jin Peng

Jun Luo

Guangyu Shi

Chang Liu

Jie Liu

Xu Liang Li

Hao Yu

Yu Jiang

John Wan

Liufei Wen

Bing Wei

Chao Zheng

Qinghai Xia

Elmira Amirloo Abolfathi

Youshui Long

Kun Tang

Yongshan Yan

Jun Xie

Xindong Shi

Yanan Liang

Mingqiang Yang

Zhihao Zhou

Zike Wei

Fukang Zhao

Mohammed Elmahgiubi

Naibao Zhou

Yichuan Wu

Hongluan Liao

Guangqing Deng

Jiadong Hao

Xiaofeng Yu

Mobile terminal

Terminal device

An image rendering method and a related device thereof are disclosed. The method includes: performing ray tracing based on rendering information of a reflecting object, and storing an obtained image of a reflection in the reflecting object in a first frame buffer, where the first frame buffer is used for storing an image that does not need to be displayed temporarily; performing rasterization separately based on the rendering information of the reflecting object and rendering information of a reflected object, and storing an obtained image of the reflecting object and an obtained image of the reflected object in a second frame buffer, where the second frame buffer is used for storing an image to be displayed; and obtaining, from the first frame buffer, the image of the reflection in the reflecting object, and storing the image of the reflection in the reflecting object in the second frame buffer.

Image rendering method and related device thereof

Mobile terminal with camera

A method for constructing a multistage network includes: deploying a plurality of nodes; constructing the upper network with at least one node of the plurality of nodes; and in response to determining there is an isolated node, determining an intermediate node for the isolated node and adding the isolated node into the upper network or one of the at least one sub-network according to the intermediate node.

Method for constructing multistage network, related method and device

A terminal includes a first middle frame, a second middle frame, a rotating assembly, a first screen, a first audio assembly, a second audio assembly, a third audio assembly and a fourth audio assembly. The rotating assembly is located between the first middle frame and the second middle frame and is connected with the first middle frame and the second middle frame respectively; the back surface of the first screen covers the first middle frame, the second middle frame and the rotating assembly; the first screen is a folding screen; the first audio assembly and the second audio assembly are located at two opposite ends of the first middle frame respectively; and the third audio assembly and the fourth audio assembly are mounted at two opposite ends of the second middle frame.

Terminal, control method and equipment

Mobile phone

A method and system for determining a trajectory within an operating space for an autonomous vehicle to implement a behaviour decision, comprising: generating a set of candidate target end states for the behaviour decision based on an estimated state of the vehicle; generating a set of candidate trajectories corresponding to the set of candidate target end states based on the estimated state of the vehicle; determining a suitability of each of the candidate target end states based on the estimated state of the vehicle; and selecting a trajectory to implement the behaviour decision from the set of candidate trajectories based on the determined suitability of the candidate target end states.

System and method for hierarchical planning in autonomous vehicles

A method and an apparatus for image processing for a vehicle are provided. The method includes: acquiring an image presenting a target object; occluding at least one area of the image to obtain at least one occluded image; inputting the at least one occluded image into a pre-trained image processing model to obtain a driving parameter corresponding to each of the at least one occluded image; determining, for each driving parameter, a difference between the driving parameter and a real driving parameter corresponding to the acquired image; and determining whether the difference between the driving parameter of the occluded image occluding at least one area where the target object is located and the real driving parameter is greater than or equal to a difference threshold, to determine a degree of association between the state of the target object and the driving parameter.

Method and apparatus for image processing for vehicle

A method, device and system of prediction of a state of an object in the environment using an action model of a neural network. In accordance with one aspect, a control system for a object comprises a processor, a plurality of sensors coupled to the processor for sensing a current state of the object and an environment in which the object is located, and a first neural network coupled to the processor. One or more predicted subsequent states of the object in the environment are determined using an action model of the neural network and a current state of the object in the environment and an plurality of action sequences. The action model comprises a mapping of states of the object in the environment and actions performed by the object for each state to predicted subsequent states of the object in the environment.

Method of prediction of a state of an object in the environment using an action model of a neural network

A method, device and system of prediction of a state of an object in the environment using a pre-trained action model defined by an action model neural network. A control system for an object comprises a plurality of sensors for sensing a current state and an environment in which the object is located, and a first neural network. Predicted subsequent states of the object in the environment are obtained using the action model and a current state of the object in the environment The action model maps a plurality of state-action pairs (s, a), each state-action pair encoding a state (s) of the object in the environment and an action (a) performed by the object to a predicted subsequent state (s') of the object in the environment. An action that maximizes a value of a target, based at least on a reward for each of the predicted subsequent states, is determined. The determined action is caused to be performed.

Method of selection of an action for an object using a neural network

The present invention discloses an automatic fecal occult blood detector for detecting a sample kit, comprising: a feed passage and a discharging passage which are provided in parallel and convey a sample kit separately; a transfer platform configured between the feed passage and the discharging passage; a push rod configured to push the sample kit on the feed passage onto the discharging passage through the transfer platform; and an image capturing device provided on one side of the discharging passage to acquire the color band information presented on a test strip. In the present invention, the parallel arrangement of the feed passage and the discharging passage shortens the whole length of the automatic detector, meeting the requirement that the color band information of the test strip is automatically acquired after the sample kit is left in the device a certain time.

Automatic fecal occult blood detector

A method and an apparatus for acquiring a contribution value of a transfer node are disclosed. The method includes: acquiring charging information of a trust node which is in a trust network circumstance and joining in a session, and acquiring charging information of the transfer node which is in a distrust network circumstance and joining in the session; auditing the consistency of charging information between the transfer node and the trust node; computing the contribution value of the transfer node according to the auditing result and the charging information of the transfer node. The invention can effectively guarantee acquiring the contribution value of the transfer node truly and unfailingly in a distrust circumstance of network circumstance, and subsequently providing basis for rewarding the node which has contributed for transferring.

Method and device for acquiring contribution value of relay node

A method for Peer-to-Peer (P2P) streaming media data distribution includes: receiving a media resource request message sent by a Client node, and sending a media resource query request corresponding to the message to multiple resource networks; obtaining response messages to the media resource query request; confirming Cache nodes storing the media resource according to the response messages; and requesting the media resource from the Cache nodes. The present invention further provides a system and a Proxy node for streaming media data distribution, thereby expanding an application range of live/on-demand service of a user, and increasing the flexibility of a system for streaming media distribution.

Method, system, and proxy node for P2P streaming media data distribution

Growing community of inventors

Beijing, China

Yunfei Zhang