Beijing Baidu Netcom Science Technology Co., Ltd

Beijing Baidu Netcom Science and Technology Co., Ltd.

Boe Technology Group Co., Ltd.

Beijing Boe Optoelectronics Technology Co., Ltd.

Beijing Biosis Healing Biological Technology Co., Ltd.

Pengfei Wei

Jia Song

Houqiang Zhu

Huiling Jian

Xinjing Li

Wei Sun

Wei Zhao

Xue Feng Gao

Bo Zhao

Zongyuan Wang

Songtao Chang

Zheng Jia

Bo Zhan

Yanrui Zhao

Leilei Xia

Xu Guan

Ning Xie

Chuanhui Ma

Guiguan Bi

Jianxin Jiang

Shuyi Chen

Zhenwei Gao

Jingang Yan

Xingge Jia

Wei Jing

The present disclosure pertains to the field of biomedical materials, and in particular relates to a medical hydrogel, a preparation method and uses thereof, and a kit for preparing the medical hydrogel. The medical hydrogel of the present disclosure comprises a hydrogel skeleton, and a chelating agent chelated to the hydrogel skeleton; wherein the hydrogel skeleton comprises a polymer that is formed by the bonding of a polyethylene glycol derivative I having a structure shown in Formula (I) and a polyethylene glycol derivative II having a structure shown in Formula (II) and has multiple 'long arms'. After tannic acid and/or citric acid as a chelating agent chelates with the hydrogel skeleton, a medical hydrogel can be obtained, which has good bacteriostatic properties, mechanical properties, adhesion properties, low swelling properties, and controllable gel formation rate and degradation rate. Moreover, the hydrogel is able to maintain viscosity in a wet state without being affected by body fluids, and it can still ensure effective adhesion and closure of wounds if there is movement or pulsation of the tissue, thus having great clinical application prospects.

Medical hydrogel and preparation method and uses thereof

The present disclosure provides a method for parking a vehicle, an electronic device and a medium. The method comprises: acquiring parking environment data of a parking environment related to a vehicle and historical parking data in the parking environment; selecting, according to the parking environment data and the historical parking data, a constraint set for parking the vehicle from a plurality of constraint sets, the plurality of constraint sets corresponding to a corresponding parking risk level; and controlling the vehicle to park according to the selected constraint set.

Method for parking vehicle, electronic device and medium

A method for automated parking, a device, and a storage medium, which relate to a field of automated parking. The method for automated parking includes: determining, based on a historical location of a vehicle over a first time period, a frequented region associated with one or more candidate parking routes for the vehicle; acquiring the one or more candidate parking routes for the vehicle based on one or more historical parking routes of the vehicle in the frequented region, where the one or more historical parking routes include a driving-in route and/or a driving-out route; and providing the vehicle with the acquired one or more candidate parking routes in response to determining that the vehicle is in the frequented region, for the vehicle to drive in or drive out.

Method for automated parking, device, and storage medium

The present disclosure discloses a data acquisition method and apparatus, and relates to the field of automatic driving. A specific implementing solution is: obtaining indication information sent by a server, the indication information including: a data type to be acquired during a driving process of a vehicle and at least one acquisition condition triggering an acquisition of data; and according to the indication information, when a state of the vehicle meets any acquisition condition, acquiring first data corresponding to the data type.

Data acquisition method and apparatus

The present application discloses a method and an apparatus for acquiring sample deviation data and an electric device, which relate to the fields of artificial intelligence technology, automatic driving technology, intelligent transportation technology and deep learning technology. The specific implementation solution is: in case of acquiring the sample deviation data, a first driving behavior parameter of a vehicle and a second driving behavior parameter of the vehicle in a simulated automatic driving mode are respectively acquired in the manual driving mode; and it is determined whether there is a deviation between the first driving behavior parameter and the second driving behavior parameter, and if there is a deviation, the vehicle is controlled to acquire the sample deviation data within a preset time period.

Method and apparatus for acquiring sample deviation data, and electronic device

The present application discloses an abnormal data collecting method for automatic parking, an apparatus, a storage medium and a product, and relates to automatic driving technology and automatic parking technology in computer technology. A specific implementation i: in response to monitoring that a target vehicle generates a fault code during an automatic parking process, matching the fault code with at least one pre-configured fault code to be collected; in response to determining that the fault code matches the fault code to be collected, determining a data collecting strategy corresponding to the fault code to be collected; and performing a data collecting operation on abnormal data corresponding to the fault code according to the data collecting strategy.

Abnormal data collecting method, apparatus, storage medium and product for automatic parking

A method and an apparatus for automated driving, a device, and a computer-readable storage medium are provided. The method for automated driving includes: obtaining data associated with a parameter and an external environment of a vehicle, the data being collected according to a collection policy for a target scenario for the vehicle; generating an automated driving model for the target scenario based on the obtained data; and updating the collection policy by testing the automated driving model.

Method and apparatus for automated driving

An information processing method, an electronic device, and a storage medium are provided, which are related to the fields of big data, cloud computing, automatic driving, and the like. The specific implementation includes: receiving a data acquisition task and an acquisition strategy issued by a cloud; analyzing the acquisition strategy to obtain priority information of the acquired data for the data acquisition task; and taking the priority information as an importance degree identifier corresponding to the acquired data, and performing preferential transmission after data acquisition and data screening according to the importance degree identifier.

Information processing method, electronic device, and storage medium

Disclosed are an optical detection method and an optical detection apparatus for a fatigue state of a user, and an optical detection device, this application relates to the field of detection technology, and is for improving accuracy of detection of the fatigue state. An optical detection method includes: irradiating eyes of the user with an infrared light; obtaining an intensity of an infrared light reflected by the eyes of the user; and determining whether the user is in a fatigue state based on the intensity of the reflected infrared light.

Optical detection method and optical detection apparatus for fatigue state, and optical detection device

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Beijing, China

Pengfei Wei