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

Beijing Baidu Netcom Science and Technology Co., Ltd.

Beijing Baidu Netcom Science Technology Co., Ltd

Netcom Science Technology Co., Ltd.

Baidu Online Network Technology Co., Ltd.

Jizhou Huang

Haifeng Wang

Deguo Xia

Shiqiang Ding

Ying Li

Miao Fan

Hao Zhang

Wei Zhang

Hui Zhao

Yingchao Shi

Liuhui Zhang

Yaming Sun

Lei Jia

Fan Wang

Shiqi Zhao

Dejing Dou

Yuting Liu

Wentao Ma

Yongzhi Ji

Hongxia Bai

Yibo Sun

Hao Chen

Ming Liu

Xiao Xi Liu

Ping Li

Di Wu

Shilei Wen

Bo Zhou

Fu Li

Xiang Zhao

Jingzhou He

Lei Lv

Dongliang He

Yanyan Li

Jingbo Zhou

Xiaoqing Ye

Zhi Feng

Haijin Liang

Ji Liu

Zhen Lu

Airong Jiang

Haoyi Xiong

Siyu Huang

Xiaomin Fang

Zhi Jin

Jinyi Lei

Kai Zhong

Lingke Zeng

He Qu

Chongli Zhu

Chengzhou Li

Zhongwei Jiang

Runmei Zhao

Ran Ji

Shaolei Ding

Lu Wan

Minghua Zhao

An Zhuo

Yufan Hou

Bing Qin

Kejiao Li

Changshun Hou

Haozhe An

An Zhou

Qingyang Li

A navigation path planning method includes planning at least two available navigation paths for each target user of at least two target users in a target region by using a path planning algorithm; and determining a global passing feature of the target region and selecting, according to the global passing feature of the target region, one available navigation path from the at least two available navigation paths corresponding to each target user to serve as a recommended navigation path to be recommended to each target user, where the global passing feature of the target region refers to a global passing feature of the at least two target users in the target region and is used for cooperative path planning that takes into account a global passing time length in the target region.

Navigation path planning method and apparatus, device, and storage medium

A method is provided. The method includes: determining, by one or more computers, a name of a target region, wherein the name of the target region is determined based on geometry attribute information of the target region; and determining, by one or more computers, region attribute information of the target region based on the name of the target region.

Method for determining region attribute information, computing device, and storage medium

The present disclosure provides a question answering method and apparatus for query information. The method may include: receiving query information input by a user, and analyzing a query target comprised in the query information; recalling candidate answers from a pre-generated knowledge graph based on the query target, where the knowledge graph is constructed based on inherent data in a map database and dynamic data of historical users, and the dynamic data includes at least one of comment data, search data, or spatiotemporal big data; and returning, in response to that there is a target answer whose matching degree with the query target exceeds a preset threshold in the candidate answers, the target answer to the user.

Question answering method for query information, and related apparatus

Provided are a road network extraction method, a device, and a storage medium, which relate to the technical field of artificial intelligence and, in particular, to the fields of image processing, computer vision, and the like and are specifically applicable to scenarios such as intelligent transportation and a smart city. A specific implementation scheme includes: extracting a first road network of a target region according to user trajectories of the target region; extracting a second road network of the target region according to a satellite aerial image of the target region; and extract a target road network of the target region according to the first road network, the second road network, and the user trajectories. Efficient and accurate road network extraction can be achieved through techniques in embodiments of the present disclosure.

Road network extraction method, device, and storage medium

There is provided a method for updating information of a point of interest, an electronic device and a storage medium, relating to the field of artificial intelligence, in particular to the field of information intelligent search, and being applicable to a scene for identifying a specified type of text content. The method includes identifying a user focus information to be approved for a target point of interest from at least one user-generated content; constructing an approval request information for approving the user focus information; pushing the approval request information to an operator of the target point of interest and obtaining an approval result information for the user focus information from the operator; and updating an attribute information of the target point of interest according to the approval result information.

Method for updating information of point of interest, electronic device and storage medium

A method and an apparatus for generation a high definition map, a device and a computer storage medium, which relate to automatic driving and deep learning technologies in the field of artificial intelligence technologies, are disclosed. An implementation includes: acquiring point cloud data and front-view image data which are collected respectively by a plurality of collecting devices at a plurality of location points to obtain a sequence of point clouds and a sequence of front-view images; performing registration of the front-view images and the point clouds on the sequence of point clouds and the sequence of front-view images; transforming the sequence of front-view images into a top-view image based on the result of the registration and determining coordinate information of each pixel in the top-view image; and identifying map elements of the top-view image to obtain the high definition map.

Method for generating high definition map, device and computer storage medium

Embodiments of the present disclosure provide a data mining system, a data mining method, and a storage medium. The data mining system includes a transfer device, a first trusted execution space and a second trusted execution space. The transfer device is configured to receive a data calling request of the second trusted execution space, obtain data to be called from the first trusted execution space according to the data calling request, and provide the data to be called to the second trusted execution space, so as to perform data mining based on the data to be called and the mining-related data to obtain a data mining result and to provide the data mining result to a device of the data user.

System and method for mining data and storage medium

The present disclosure provides a method and apparatus for automatically producing map data. The method includes: performing track rectification on crowdsourcing tracks based on corresponding standard tracks, and locating each map element included, based on depth information of track point images included in the rectified crowdsourcing tracks; comparing a latest map element obtained based on the rectified crowdsourcing tracks locating and an old map element at a corresponding locating position using a pre-built entity semantic map; determining, in response to a change in the latest map element compared to the old map element, a target processing method according to a processing standard of a changed map element pre-abstracted from a map element update specification; and processing the latest map element according to the target processing method to obtain a processed latest map.

Method for automatically producing map data, and related apparatus

A vehicle control method and apparatus, a device and a computer storage medium are disclosed, which relates to the technical fields of autonomous driving and intelligent transportation. A specific implementation solution involves: determining vehicles in a preset geo-fencing region; determining a vehicle weight of each said vehicles according to a vehicle type and a waiting duration of each said vehicles; estimating, according to the vehicle weights of the vehicles in each of lanes in the geo-fencing region and positions of the vehicles in each said lanes, a duration to be waited in each said lanes; and generating a control instruction for each said vehicles according to the respective durations to be waited in each said lanes and the respective positions of the vehicles in each said lanes, the control instruction including a state instruction and/or a target speed instruction.

Vehicle control method and apparatus, device and computer storage medium

Technical solutions relate to the fields of artificial intelligence technologies and voice technologies. A technical solution includes: performing voice recognition and demand analysis on a voice instruction input by a user; in response to an unknown demand obtained by the demand analysis, acquiring information of a query entity and query content using a result of the demand analysis, and acquiring reply information corresponding to the query content by communication with the query entity; and returning a first voice response to the user using the reply information.

Voice interaction method and apparatus, device and computer storage medium

The present disclosure provides a method and an apparatus of verifying information based on a voice interaction, a device, and a computer storage medium, and relates to a field of artificial intelligence technology. The present disclosure is implemented to include: acquiring a text of a voice response of a user to a voice inquiry, wherein the voice inquiry is provided for verifying information with the user; and inputting each character of the text of the voice response and a phonetic information associated with the each character to a pre-trained semantic analysis model so as to obtain an user intention information and/or an information of an object to be verified output by the pre-trained semantic analysis model, wherein the user intention information includes a confirmation, a denial, an answer, or a question.

Method and apparatus of verifying information based on a voice interaction, device, and computer storage medium

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.

Method and apparatus for identifying updated road, device and computer storage medium

A method, apparatus, device and computer storage medium for processing voices, which relate to the technical field of voices, are disclosed. An implementation includes: recognizing a voice request received by a first voice assistant to obtain a text request; determining information of a second voice assistant which is able to process the text request; and calling the second voice assistant to respond to the text request.

Method, apparatus, device and computer storage medium for processing voices

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.

Method and apparatus for acquiring POI state information

The present application discloses a method and apparatus for guiding a voice-packet recording function, a device and a computer storage medium, and relates to the field of big data. An implementation includes identifying a target user with a voice-packet recording demand using historical map usage behaviors of map users; and identifying a scenario where the target user uses a client terminal, and if the scenario conforms to a voice-packet recording scenario, sending first guidance information of the voice-packet recording function to the client terminal. With the present application, accurate guidance of the voice-packet recording function is realized, and excessive disturbance in the user is reduced.

Method and apparatus for guiding voice-packet recording function, device and computer storage medium

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Beijing, China

Jizhou Huang