-
公开(公告)号:US12233914B2
公开(公告)日:2025-02-25
申请号:US17796074
申请日:2022-01-30
Inventor: Xin Zhang
IPC: B60W60/00
Abstract: Provided are an automatic driving-based riding method, apparatus and device, and a storage medium. The automatic driving-based riding method includes: selecting a target pick-up point for a target passenger from candidate pick-up points according to vehicle auxiliary information of the candidate pick-up points, where the vehicle auxiliary information of the candidate pick-up points includes coordinate information and lane information of the candidate pick-up points; and controlling an automatic driving vehicle to drive to the target pick-up point according to the vehicle auxiliary information of the target pick-up point.
-
公开(公告)号:US12205043B2
公开(公告)日:2025-01-21
申请号:US17208921
申请日:2021-03-22
Inventor: Shuangquan Yang , Yang Zhang , Chang Liu , Yi Xie
IPC: G06F16/901 , G06F16/906 , G06N5/022
Abstract: The present disclosure provides a method for generating a knowledge graph, a method for mining relation and an apparatus for generating a knowledge graph. The method for generating a knowledge graph includes: obtaining an initial knowledge graph, wherein the initial knowledge graph comprises a plurality of nodes having connection relationships; determining a plurality of target map elements meeting preset property information requirements from the initial knowledge graph, in which the target map elements comprise target nodes, or target edges; and merging the plurality of the target map elements to generate a knowledge graph.
-
公开(公告)号:US12183128B2
公开(公告)日:2024-12-31
申请号:US17342207
申请日:2021-06-08
Inventor: Xi Feng
Abstract: A testing method for an automated driving system, an electronic device and a storage medium are provided, and relate to the technical field of artificial intelligence, such as intelligent transportation and automated driving. The method includes: acquiring record data of a sensor device, the record data including a plurality of frames of data collected by the sensor device of a vehicle, each frame of data including a timestamp, and a first frame and a last frame of the record data corresponding to a same vehicle position; and writing the record data repeatedly to generate test data for testing the automated driving system; and updating the timestamp of each frame of data in the record data in the process of repeated writing, according to a number of times of a current repeated writing and a time duration corresponding to the record data.
-
公开(公告)号:US12141674B2
公开(公告)日:2024-11-12
申请号:US17210034
申请日:2021-03-23
Inventor: Yixuan Shi , Mingyang Dai , Zixiang Liu
Abstract: The present application discloses a method for generating a user interactive information processing model and a method for processing user interactive information, relates to the technical field of graph neural networks, and particularly relates to a user interactive information processing technology. The method comprises the following steps: determining node representations of network nodes of each layer in a graph neural network in an iterative manner, wherein the node representation of a single-layer node is obtained by representations of neighbor nodes of the single-layer node; adding the attribute feature of each node in each layer of network nodes to the node representation of each layer of network nodes to obtain a graph neural network to be trained; and training the graph neural network to be trained based on existing user interactive information, to obtain a user interactive information processing model, wherein the user interactive information processing model comprises adjusted node representation.
-
公开(公告)号:US12141228B2
公开(公告)日:2024-11-12
申请号:US17017600
申请日:2020-09-10
Inventor: Xiaozhang Gong , Jian Ouyang , Jing Wang , Wei Qi
Abstract: Embodiments of the present disclosure propose a deep learning processing apparatus and method, device and storage medium, relating to the field of artificial intelligence. A deep learning processing apparatus includes: at least one matrix multiply-add module, configured to perform a matrix multiply-add operation of a convolution kernel parameter value matrix of a convolutional layer in a convolutional neural network and a first error gradient value matrix to obtain a plurality of intermediate matrices; a storage apparatus, configured to store the plurality of intermediate matrices without reshaping elements in the plurality of intermediate matrices; and a plurality of matrix accumulation modules, configured to read the plurality of intermediate matrices from the storage apparatus and perform a matrix accumulation operation based on the plurality of intermediate matrices according to a convolution scheme of the convolutional layer in parallel, to obtain a second error gradient value matrix for the convolutional layer.
-
公开(公告)号:US12106052B2
公开(公告)日:2024-10-01
申请号:US17205894
申请日:2021-03-18
Inventor: Shuohuan Wang , Siyu Ding , Yu Sun
IPC: G06N5/02 , G06F18/21 , G06F40/279 , G06F40/30
CPC classification number: G06F40/30 , G06F18/2163 , G06F40/279 , G06N5/02
Abstract: The disclosure discloses a method and an apparatus for generating a semantic representation model, and a storage medium. The detailed implementation includes: performing recognition and segmentation on the original text included in an original text set to obtain knowledge units and non-knowledge units in the original text; performing knowledge unit-level disorder processing on the knowledge units and the non-knowledge units in the original text to obtain a disorder text; generating a training text set based on the character attribute of each character in the disorder text; and training an initial semantic representation model by employing the training text set to generate the semantic representation model.
-
公开(公告)号:US12104350B2
公开(公告)日:2024-10-01
申请号:US17594519
申请日:2020-11-26
Inventor: Lingfeng Qian , Pinxin Long , Liangjun Zhang
CPC classification number: E02F3/435 , G05D1/0223
Abstract: A speed determination method, an electronic device and a computer storage medium are provided, relates to the field of computer technology, and may be applied to the field of artificial intelligence, especially the field of automated driving. The method includes: determining an expected speed direction of a controlled point of a first controlled target according to an actual location of the controlled point of the first controlled target and a preset trajectory of the controlled point of the first controlled target, wherein the first controlled target is one of a plurality of controlled targets having a kinematic relationship; and determining a target speed of at least one controlled target of the plurality of controlled targets according to the expected speed direction of the controlled point of the first controlled target and the kinematic relationship.
-
公开(公告)号:US12086536B2
公开(公告)日:2024-09-10
申请号:US17213447
申请日:2021-03-26
Inventor: Da Qu
IPC: G06F40/154 , G06F16/955 , G06F16/958 , G06F40/143 , G06F40/166
CPC classification number: G06F40/154 , G06F16/955 , G06F16/986 , G06F40/143 , G06F40/166
Abstract: A method, apparatus, device, and storage medium for determining a page theme are provided. The method may include: acquiring a current operating environment of a target page; determining a target theme that matches the current operating environment; searching for a target style resource link matching the target theme from a database in which style resource links corresponding to different themes are pre-stored; loading a CSS variable value in the target style resource link onto the target page, wherein the CSS variable value in the target style resource link is used to indicate, among styles of the target page, a style that is changed at the time of switching the themes.
-
公开(公告)号:US12025443B2
公开(公告)日:2024-07-02
申请号:US17410878
申请日:2021-08-24
Inventor: Jizhou Huang , Deguo Xia , Haifeng Wang
CPC classification number: G01C11/06 , G01C21/3859 , G01C21/3885 , G06F16/23 , G06F18/214 , G06N3/08 , G06V20/182
Abstract: The present application discloses a method and apparatus for identifying an updated road, a device and a computer storage medium, and relates to the field of big data technologies. A specific implementation solution is as follows: comparing a road area extracted based on the latest satellite image with a road area extracted based on a historical satellite image, to obtain a candidate updated road; mapping the candidate updated road into road network data according to a coordinate position of the candidate updated road; acquiring a user trajectory set corresponding to the candidate updated road within a recent preset period; and identifying, based on a matching result between the user trajectory set and the road network data, whether the candidate updated road is an actual updated road. Updated roads can be more accurately identified through the method according to the present application.
-
公开(公告)号:US11977574B2
公开(公告)日:2024-05-07
申请号:US17754464
申请日:2021-07-20
Inventor: Jizhou Huang , Yibo Sun , Haifeng Wang
IPC: G06F16/387 , G06F40/295
CPC classification number: G06F16/387 , G06F40/295
Abstract: A method and apparatus for acquiring point of interest (POI) state information are suggested, which relate to a big data technology in the technical field of artificial intelligence. A specific implementation scheme involves: acquiring a text including POI information within a preset period from the Internet; and recognizing the text by using a pre-trained POI state recognition model, to obtain a two-tuple in the text, the two-tuple including a POI name and POI state information corresponding to the POI name. The POI state recognition model acquires a vector representation of each first semantic unit in the text, and acquires a vector representation of each second semantic unit in the text based on semantic dependency information of the text; fuses the vector representation of each first semantic unit and the vector representation of each second semantic unit to obtain a fusion vector representation of each first semantic unit; and predicts labels of the POI name and a POI state based on the fusion vector representation of each first semantic unit.
-
-
-
-
-
-
-
-
-