Apollo Intelligent Driving Technology (beijing) Co., Ltd.

Beijing Baidu Netcom Science Technology Co., Ltd

Cofco (jilin) Bio-chemical Technology Co., Ltd

Nutrition & Health Research Institute, Cofco Corporation

Cofco Biotechnology Co., Ltd.

Tsinghua University

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

Peking University

Beijing Naura Microelectronics Equipment Co., Ltd.

Beijing University of Chemical Tehcnology

Beijing University of Civil Engineering and Architecture

Jilin Cofco Biomaterial Co., Ltd

Beijing Institute of Control Engineering

Beijing Baidu Netcom Science and Technology Co., Ltd.

Xiaoyan Wang

Kai Yang

Lei Zhang

Wuzhao Zhang

Qijuan Yin

Hongda Zhang

Bo Chen

Wei Lin

Yi Tong

Tai An

Zhuo Chen

Baisheng Wang

Chao Peng

Weiqiang Zhou

Li Wang

Haifeng Wang

Lin Li

Yang Yu

Li Liu

Qiang Li

Errui Ding

Cheng Chen

Tian Wu

Yuan Zhang

Jingdong Wang

Junyu Han

Qiong Wu

Yujie Yang

Peng Chen

Chengquan Zhang

Shanshan Liu

Kun Yao

Kejia Xu

Yuming Li

Lida Wu

Fang Tian

Pengyuan Lv

Jin Tao

Liang Wu

Jun Zhong

Miaomiao Wang

Guoqiang Chen

Anni Liu

Zhigang Liu

Li Yuan

Yanpeng Wu

Yuanheng Guo

Dayong Li

Haijun Liu

Long Tao

Xuemei Shen

Yangliu Xu

Meina Qiao

Ran Zheng

Jie Sui

Huiyan Cheng

Jichuan Zhang

Mengjie Dong

Xiubo Qu

Yanxiong Zhang

Chongyang Yuan

Jialing Gu

The present disclosure provides a character recognition model training method and apparatus, a character recognition method and apparatus, a device and a medium, relating to the technical field of artificial intelligence, and specifically to the technical fields of deep learning, image processing and computer vision, which can be applied to scenarios such as character detection and recognition technology. The specific implementing solution is: partitioning an untagged training sample into at least two sub-sample images; dividing the at least two sub-sample images into a first training set and a second training set; where the first training set includes a first sub-sample image with a visible attribute, and the second training set includes a second sub-sample image with an invisible attribute; performing self-supervised training on a to-be-trained encoder by taking the second training set as a tag of the first training set, to obtain a target encoder.

Character recognition model training method and apparatus, character recognition method and apparatus, device and storage medium

A collision detection method, an electronic device, and a storage medium are provided, which relate to a field of artificial intelligence technology, and in particular to fields of intelligent transportation and autonomous driving technologies. The method includes: determining a predicted travel range of a target object based on a planned travel trajectory of the target object and a historical travel trajectory of the target object; determining, in response to a target obstacle being detected, a predicted travel range of the target obstacle based on a current travel state of the target obstacle; and determining whether the target object has a risk of colliding with the target obstacle, based on the predicted travel range of the target object and the predicted travel range of the target obstacle.

Collision detection method, electronic device, and medium

There is provided an obstacle detection method, an electronic device and a storage medium, which relates to the field of computer technologies, and particularly to the fields of autonomous driving technologies, intelligent transportation technologies, Internet of Things technologies, deep learning technologies, or the like. The method for detecting obstacle includes: detecting an obstacle in a vehicle traveling process using plural obstacle detection manners to obtain plural initial detection results of the obstacle, the plural initial detection results corresponding to the plural obstacle detection manners; fusing the plural initial detection results to obtain a fusion result; and obtaining a final detection result of the obstacle based on the fusion result.

Obstacle detection method, electronic device and storage medium

Embodiments of the present disclosure provide a semiconductor processing apparatus and a magnetron mechanism thereof. The magnetron mechanism is applied to the semiconductor processing apparatus and includes a backplane, an outer magnetic pole, and an inner magnetic pole. The outer magnetic pole is arranged on a bottom surface of the backplane and encloses to form accommodation space. The inner magnetic pole is arranged on the bottom surface of the backplane and located in the accommodation space. The inner magnetic pole can move to change corrosion areas of the target material. The distance between the inner magnetic pole and the outer magnetic pole is always greater than a predetermined distance during the movement. With the semiconductor processing apparatus and the magnetron mechanism thereof of embodiments of the present disclosure can achieve the full target corrosion in a sputtering environment in a high-pressure state.

Semiconductor processing apparatus and magnetron mechanism

A device and a method for determining a microvibration effect on a millisecond-level space optical sensor are provided. The device includes: a light source, a star simulator, an air flotation vibration isolation platform, a suspension system/air flotation system, a zero stiffness system, a supporting system, a six-degree-of-freedom microvibration simulator, a signal driving apparatus, and a data acquisition and processing system. In the device for determining a microvibration effect on a space pointing measurement apparatus, a free boundary condition and a zero gravity environment are simulated by using a suspension system and a zero stiffness system. A light source and a star simulator simulate a star at infinity. A six-degree-of-freedom microvibration simulator simulates an on-orbit microvibration mechanical environment which is used as an input of a test. Extremely high-precision sensors collect system response data.

Apparatus and method for measuring micro-vibration influence of spatial orientation measuring instrument

The present disclosure relates to gutta-percha containing carbon nanotubes and a preparation method therefor. The gutta-percha is prepared by mixing a raw material, prepared from the following components of eucommia ulmoide gum, zinc oxide and carbon nanotubes, and extruding the mixed raw material. An orientation factor of the carbon nanotubes in the gutta-percha is greater than 10.8. The preparation method comprises: mixing the components according to dosages, and extruding a mixed product to prepare the gutta-percha containing carbon nanotubes.

Gutta-percha containing carbon nanotubes and preparation method therefor

A vehicle control method, a vehicle control apparatus, an electronic device and a self-driving vehicle all relates to the field of self-driving and intelligent transportation technologies. The method includes: when a vehicle is moving, in a case that an occluding object is detected, determining a hard brake speed limit point and a potential collision point according to a planned path of the vehicle and position information of the occluding object; calculating a speed limit value of the hard brake speed limit point based on a distance between the hard brake speed limit point and the potential collision point; in a case that a planned speed of the vehicle at the hard brake speed limit point is less than or equal to the speed limit value, controlling the vehicle to move at the planned speed.

Vehicle control method and apparatus, electronic device and self-driving vehicle

Embodiments of the present application provide a collision detection method and apparatus based on an autonomous vehicle, a device and a storage medium, where the method includes: acquiring first point cloud data of each obstacle in each region around the autonomous vehicle, where the first point cloud data represents coordinate information of the obstacle and the first point cloud data is based on a world coordinate system; converting the first point cloud data of the each obstacle into second point cloud data based on a relative coordinate system, where an origin of the relative coordinate system is a point on the autonomous vehicle; determining, according to the second point cloud data of the each obstacle in all regions, a possibility of collision of the autonomous vehicle. A de-positioning manner for collision detection is provided, thereby improving the reliability and stability of collision detection.

Collision detection method and apparatus based on an autonomous vehicle, device and storage medium

The present application provides a vehicle fault handling method, an apparatus and a storage medium, the method includes: acquiring in real-time, by a first vehicle fault handling device, status information of a second vehicle fault handling device, where the first vehicle fault handling device is further configured to monitor a main system of a vehicle in real-time, the second vehicle fault handling device is configured to monitor a first computing device, and the first vehicle fault handling device and the main system are provided in the first computing device; determining, by the first vehicle fault handling device, whether a fault has occurred in the second vehicle fault handling device according to the status information thereof; and performing, by the first vehicle fault handling device, fault handling if a fault has occurred in the second vehicle fault handling device.

Vehicle fault handling method, apparatus, device and storage medium

A method for controlling an unmanned vehicle includes: acquiring unmanned vehicle monitoring information of the unmanned vehicle when it is determined that a course of the unmanned vehicle will be out of control; determining a safety level corresponding to the unmanned monitoring information according to a predefined correspondence between unmanned vehicle monitoring information and a safety level; and controlling, according to the safety level corresponding to the unmanned monitoring information, the unmanned vehicle to drive. Thus, upon determining that the unmanned vehicle has gone beyond a boundary of the autopilot, the problem is identified that the unmanned vehicle will encounter a danger in driving. Then, the autopilot process of the unmanned vehicle is demoted according to the severity of the danger, e.g., decelerated or adjusted in its direction, to avoid safety hazards.

Method, apparatus, device and storage medium for controlling unmanned vehicle

The present disclosure provides an method, an apparatus, a device and a storage medium for controlling an unmanned vehicle, where the method includes: receiving control messages transmitted by at least two automatic driving physical apparatuses, where the control messages include indication information; determining an optimal control message according to the indication information in each of the control messages; transmitting the optimal control message to a device for controlling an unmanned vehicle, so that the device for controlling an unmanned vehicle performs driving control on the unmanned vehicle according to the optimal control message. When a plurality of automatic driving physical apparatuses transmit control messages, at this time, the control messages are redundant, and a control message can be selected for execution, so that the unmanned vehicle can receive a control signal in time, which is beneficial to the safe driving of the unmanned vehicle.

Method, apparatus, device and storage medium for controlling an unmanned vehicle

Disclosed is a method for optimizing feature parameters of straight grooves of a wet friction element and relates to the technical field of heavy-duty vehicle transmission. By using the method, the feature parameters of the straight grooves of the wet friction element can be improved by optimization, and the thermoelastic stability of the wet friction element can be improved.

Method for optimizing feature parameters of straight grooves of wet friction element

A method for efficiently producing PHA comprising: inoculating PHA fermentation strains into a fermentation medium for fermentation under the condition of being capable of producing PHA through fermentation; subjecting the fermentation broth to a solid-liquid separation to obtain fermentation supernatant and thallus precipitate; breaking the cell walls of the thallus precipitate, and subjecting the wall-broken products to a plate and frame filtration to prepare PHA; pre-coating a filter cloth for the plate and frame filtration with a PHA layer; at least part of the water of the fermentation medium is PHA process wastewater. The method utilizes the PHA process wastewater as at least part of the water of the fermentation medium, and filters and separates the broken thallus with the plate and frame filtration equipment pre-coated with PHA layer to prepare PHA, thereby recycling the high-salt wastewater, reducing costs, and potentially separating PHA on a large scale for industrial production.

Method for efficiently producing PHA

The present disclosure relates to the technical fields of genetic engineering and microbial fermentation, and discloses a recombinant strain for producing L-lactic acid, wherein the recombinant strain is obtained by genetically modifying a starting strain, the activity of D-lactate dehydrogenase of the recombinant strain is weakened or inactivated, and the activity of L-lactate dehydrogenase is enhanced, as compared with the starting strain. The present invention can significantly improve the fermentation effect, the yield of the L-lactic acid and the optical purity of the product L-lactic acid.

Recombinant strain for producing L-lactic acid

The present disclosure relates to the technical field of biotechnology and polymer synthesis, and discloses a method for producing polylactic acid, the method comprises the following steps: (i) inoculating a lactic acid fermentation strain into a lactic acid fermentation culture medium to perform a fermentation, so as to obtain a fermentation broth containing lactate; (ii) separating the fermentation broth to obtain a lactic acid; (iii) synthesizing a polymer-grade lactide by using the lactic acid as a raw material; (iv) subjecting the polymer-grade lactide to a polymerization reaction in a polymerization reaction device to obtain a polylactic acid. Through the above technical solution, the polylactic acid can be efficiently produced in the present disclosure.

Method for producing polylactic acid

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Beijing, China

Xiaoyan Wang