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

Beijing Baidu Netcom Science Technology Co., Ltd

Baidu Online Network Technology Co., Ltd.

Liuhui Zhang

Jizhou Huang

Deguo Xia

Hui Zhao

Yuting Liu

Hongxia Bai

Bo Zhang

Shuai Wang

Gang Zhang

Mengmeng Zhang

Qiang Ju

Li Wan

Xi Zhang

Wensong He

Zhen Lu

Yafei Miao

Xinya Zhang

Wenming Wang

Hualong Zu

Kai Zhong

Xiaonan He

Jingyu Ye

Xiaochen Jia

Jiaguang Lu

Zhongji Fan

Lingjin Xu

Sunhonglu Dong

The present application discloses a map data updating method, an apparatus, a device and a readable storage medium. The specific implementation solution is: after receiving road information reported by an electronic device, a server obtains multiple sequences according to the road information, and each road information belonging to the same sequence has the same type and location. After that, the server inputs each road information contained in the sequences to a pre-trained neural network model, so that the neural network model outputs a recognition result according to the sequences. The server updates map data according to the recognition result. With such solution, valid road information is recognized by combining context of each road information in the sequences and the neural network technology, and the map data is updated, which achieves the purpose of accurately updating the map data.

Map data updating method, apparatus, device, and readable storage medium

The present disclosure discloses a method, apparatus and electronic device for early-warning, relates to the field of internet of vehicle and used for an intelligent traffic scenario. The specific implementations are: determining a target object crossing a road at a current moment, the road crossed by the target object being a first road; determining a target area based on a location of the target object; determining a target vehicle on the first road based on locations of vehicles on the first road as well as the target area; and sending an early-warning message to the target vehicle. It is using the locations of vehicles on the first road as well as the location of the target object crossing the road to determine the target vehicle during determination of the target vehicle among the vehicles on the first road, in order to send early-warning message to the target vehicle to achieve early-warning of the target vehicle and increase precision of the early-warning.

Method, apparatus and electronic device for early-warning

A method and an apparatus for visual positioning based on mobile edge computing are provided. In the method, the mobile edge computing node receives an environment image captured by a to-be-positioned device in an area covered by the mobile edge computing node; the mobile edge computing node determines a target image matching the environment image from multiple candidate images, and calculates the position and pose information of the to-be-positioned device based on the position and pose information of the device for capturing the target image; and the mobile edge computing node sends the position and pose information of the to-be-positioned device to the to-be-positioned device, so that the to-be-positioned device determines the positioning information in an electronic map according to the position and pose information.

Method and apparatus for visual positioning based on mobile edge computing

The present disclosure provides a resource pushing method, a device and a storage medium for a smart device, the method includes: acquiring a first pushing resource according to a preset rule, where the first pushing resource is used by the smart device to interact with a user, pushing the first pushing resource to the user. In the solution, relevant resources are actively acquired according to behavior information of the user, triggering and hotspots, and are pushed to the user, thereby saving the cost in resource querying by the user, and increasing the exposure of platform resources.

Resource pushing method, device, and storage medium for smart device

Growing community of inventors

Beijing, China

Liuhui Zhang