公开(公告)号：US20230030736A1

公开(公告)日：2023-02-02

申请号：US17815546

申请日：2022-07-27

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Guohao GONG ,  Yingnan LIU ,  Ning YU ,  Jingjing XUE ,  Jing YAN ,  Yongchen LI ,  Shenglin QIN

IPC: B60W60/00 ,  B60W50/08 ,  H04W4/44

Abstract: The present disclosure provides an autonomous driving vehicle control method and apparatus, an electronic device and a readable storage medium, and relates to the field of computer technologies, and in particular, to the field of artificial intelligence technologies such as intelligent transportation and autonomous driving technologies. A specific implementation solution involves: constructing a communication link between an autonomous driving vehicle and a cloud; reporting, based on the communication link, emergency information provided by a passenger of the autonomous driving vehicle to the cloud; receiving control information of the autonomous driving vehicle fed back by the cloud, the control information of the autonomous driving vehicle being sent by the cloud in response to a trigger operation of an agent of the cloud based on the emergency information; and controlling the driving of the autonomous driving vehicle according to the control information of the autonomous driving vehicle.

公开(公告)号：US20210335127A1

公开(公告)日：2021-10-28

申请号：US17366637

申请日：2021-07-02

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Yuan WANG ,  Jin ZHAO ,  Xing SU ,  Shewei DENG ,  Xiang YANG ,  Hao ZHOU ,  Jing YAN ,  Shenglin QIN ,  Xiaoliang CONG ,  Yaling ZHANG

IPC: G08G1/01 ,  G06K9/32

Abstract: The present application discloses a traffic monitoring method, an apparatus, a device, and a storage medium, relates to fields of autonomous driving, intelligent transportation, big data. The specific implementation is: acquiring road condition information and/or vehicle state information collected by a terminal device, where the terminal device is at least one of an unmanned vehicle and an unmanned aerial vehicle; performing a data analysis on the road condition information and/or the vehicle state information, and identifying a traffic event. Through the above procedure, monitoring efficiency of the traffic state is improved.