Beijing Niu Information Technology Co., Ltd.

Boe Technology Group Co., Ltd.

Beijing Boe Optoelectronics Technology Co., Ltd.

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

International Business Machines Corporation

Globalfoundries Inc.

Beijing Sensetime Technology Development Co., Ltd.

Beijing Baidu Netcom Science Technology Co., Ltd

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

Beijing Xiaomi Mobile Software Co., Ltd.

Tsinghua University

Hefei Xinsheng Optoelectronics Technology Co., Ltd.

Beijing Jingdong Zhenshi Information Technology Co., Ltd.

Hefei Boe Vision-Electronic Technology Co., Ltd.

Beijing Baidu Netcom Science and Technology Co., Ltd.

Kai Yang

Yilin Hu

Chuankai Liu

Yunqi Li

Xue Dong

Xiaoyan Wang

Xuewu Zhang

Renwei Guo

Lei Zhang

Peng Liu

Wuzhao Zhang

Qijuan Yin

Jilei Yin

Liwei Wu

Hongda Zhang

Hao Zhang

Zhuo Chen

Lingyun Shi

Rui Zhang

Wei Lin

Yi Tong

Yuancheng Liu

Yang Fan Liu

Tianpeng Bao

Yalan Liu

Zhao Qing Zheng

Yang Liu

Bo Chen

Hao Yu

Bin Sun

Baisheng Wang

Tai An

Haiwei Sun

Hyungkyu Kim

Adrian Stephen Butter

Cheng Song

Quanhua He

Kejia Xu

Lida Wu

Chao Peng

Zhigang Liu

Weiqiang Zhou

Bin Yu

Yu Zhang

Li Wang

Jian Ding

Chao Zhang

Wei Shan Dong

Rui Liu

Peng Gao

Chun Ma

Chenru Wang

Fei Fei Li

Jie Liu

Haitao Liu

Yuan Yao

Xiurong Wang

Chang Li

Yuan Zhang

Huihui Li

Xiaobo Xie

Yiftach Benjamini

Liming Xia

Qiong Wu

Peng Chen

Jingchao Feng

Mengyu Luan

Youyuan Hu

Xinzhu Wang

Xinfeng Wu

Ren Jie Yao

Ting Yuan

Bo Mao

Dong Zhai

Xiaorong Gao

Fang Tian

Zhongsheng Qi

Jin Tao

Jie Luo

Guoxing Zhao

Zhou Yang

Yurong Cao

Jiaxin Sun

Xingyu Zhang

Pengxiang Liu

Qian Hu

Xiaoyang Guo

Tianxiang Cui

Pengjie Zheng

Yuanheng Guo

Dayong Li

Haijun Liu

Chengpeng Zhao

Guoqiang Chen

Anni Liu

Chuanyin Zhou

Yijian Qi

Quanke Zhao

Zeyong Wang

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

Headlight for motorcycles

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

Motorcycle

Motorcycle frame

Motorcycle swing-arm

Dashboard for electric bicycle

A method and a device for acquiring information of recipient is provided. The detailed description of an embodiment of the method comprises: receiving a sharing instruction from a user regarding a target link, the target link being used for directing to an order filling interface related to a shipping order corresponding to a recipient in a target shipping application, and the sharing instruction being used for instructing to share the target link with the recipient; executing a corresponding sharing operation on the basis of the sharing instruction so that the recipient fills in the information thereof on the order filling interface to which the shared target link is directed and submits the recipient information to a first server that provides support for the target shipping application; and receiving the recipient information returned from the first server.

Method and apparatus for acquiring recipient information

Electric bicycle

Turn signal lamp for motorcycles

Auxiliary light for motorcycles

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

Provided are a scintillator screen manufacturing method, a scintillator screen and an image detector. The manufacturing method comprises the following steps: making a crystal column scintillator layer () on the predetermined surface of a flexible substrate (); making a moisture-proof layer on the periphery of the flexible substrate () on which the crystal column scintillator layer () is formed; making an X-ray absorption layer on the other surface of the moisture-proof layer except the surface for receiving X-rays; and making a protective layer () on the outer surface of the X-ray absorbing layer and on the surface of the moisture-proof layer for receiving X-rays.

Scintillator screen manufacturing method, scintillator screen and corresponding image detector

The present disclosure provides a method and apparatus of determining a guide path, and a method and apparatus of controlling driving of a vehicle. The method of determining the guide path may be performed by a monitoring platform and includes: displaying a map for a predetermined range of a vehicle in response to receiving a guide request transmitted by the vehicle, wherein the map includes a plurality of first track points for the vehicle; changing a position of at least one of the plurality of first track points in the map in response to a target operation on the at least one first track point, so as to obtain a plurality of second track points; determining the guide path for the vehicle according to the plurality of second track points; and transmitting path information indicative of the guide path to the vehicle.

Method and apparatus of determining guide path, method and apparatus of controlling driving of vehicle, and electronic device

Growing community of inventors

Beijing, China

Kai Yang