Beijing Didi Infinity Technology and Development Co., Ltd.

Boe Technology Group Co., Ltd.

Hefei Xinsheng Optoelectronics Technology Co., Ltd.

Beijing Sensetime Technology Development Co., Ltd.

University of Science and Technology Beijing

Chen Huang

Xiaoou Tang

Junjie Zhao

Zouming Xu

Guiyu Zhang

Tsungchieh Kuo

Xuan Li

Chen Change Loy

Fei Ma

Guangyuan Yu

Yining Li

Liming Xiao

Jingliang Duan

An intervention-based shared control method and apparatus in forward collision avoidance scenario of autonomous vehicle includes: acquiring vehicle state data of the autonomous vehicle and inputting the vehicle state data into a constructed forward collision avoidance control model to obtain an optimal nominal collision avoidance trajectory of the autonomous vehicle; and acquiring steering input data of a driver in controlling the autonomous vehicle, and obtaining the shared control method in the forward collision avoidance scenario of the autonomous vehicle. The present disclosure proposes a vehicle model decoupling method for control solution and risk prediction in a high-velocity forward collision avoidance scenario.

Intervention-based shared control method and apparatus in forward collision avoidance scenario of autonomous vehicle

Systems and methods for providing an online to offline service in response to a voice request from a user terminal are provided. A method includes: receiving a voice request from a user terminal; in response to the voice request, updating a customized recognition model trained using data of a plurality of points of interest associated with the user terminal; obtaining a general recognition model trained using data from general public; determining a literal destination associated with the voice request based at least on the voice request, the customized recognition model and the general recognition model.

Artificial intelligent systems and methods for displaying destination on mobile device

A touch control display panel having a subpixel region and an inter-subpixel region is provided. The touch control display panel includes an array substrate and a counter substrate facing the array substrate. The counter substrate includes a base substrate; a first black matrix layer on the base substrate; a plurality of touch electrodes on the base substrate; and a second black matrix layer on a side of the plurality of touch electrodes away from the first black matrix layer. The first black matrix layer, the second black matrix layer, and the plurality of touch electrodes are limited in the inter-subpixel region. Orthographic projections of the first black matrix layer and the second black matrix layer on the base substrate substantially cover an entirety of an orthographic projection of the plurality of touch electrodes on the base substrate.

Touch control display panel, touch control display apparatus, counter substrate, and method of fabricating touch control display panel

An image disambiguation method includes: performing image feature extraction and semantic recognition on at least two images in an image set including similar targets to obtain N K-dimensional semantic feature probability vectors, where the image set includes N images, N and K are both positive integers, and N is greater than or equal to 2; determining a differential feature combination according to the N K-dimensional semantic feature probability vectors, the differential feature combination indicating a difference between the similar targets in the at least two images in the image set; and generating a natural language for representing or prompting the difference between the similar targets in the at least two images in the image set according to the differential feature combination and image features of the at least two images in the image set.

Image disambiguation method and apparatus, storage medium, and electronic device

Systems and methods are provided for speech recognition. An example method may be implementable by a server. The method may comprise adding a key phrase into a dictionary comprising a plurality of dictionary phrases, and for each one or more of the dictionary phrases, obtaining a first probability that the dictionary phrase is after the key phrase in a phrase sequence. The key phrase and the dictionary phrase may each comprise one or more words. The first probability may be independent of the key phrase.

System and method for speech recognition with decoupling awakening phrase

Growing community of inventors

Beijing, China

Chen Huang