公开(公告)号：US20230059277A1

公开(公告)日：2023-02-23

申请号：US17807132

申请日：2022-06-15

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

Inventor： Xiaopei HOU ,  Junjun ZHANG ,  Changjun SHENG ,  Juntao TONG ,  Jiajing FU ,  Dan MA ,  Yingjie NIU ,  Wenya LIU ,  Yuke ZHANG ,  Yun ZHAO ,  Youhan CHEN ,  Xiufeng HAN ,  Xiulong XIA ,  Yang ZHANG

IPC: G06T11/40 ,  G06F16/29 ,  G06T11/20 ,  G06T7/13

Abstract: Provided are a map data processing method and apparatus, and a storage medium, which relate to the field of data processing technology and, in particular, to artificial intelligence technology, for example, computer vision, map technology, and intelligent transportation. A specific implementation solution includes: processing landform coverage data according to a type of surface species coverage and a data processing rule associated with the type of surface species coverage to obtain a surface species coverage effect map; and generating a landform map according to the surface species coverage effect map and a reference map.

公开(公告)号：US20230031709A1

公开(公告)日：2023-02-02

申请号：US17814135

申请日：2022-07-21

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

Inventor： Zhihua YU ,  Jianfeng SUN ,  Yun ZHAO ,  Ganghui WANG ,  Yanfu ZHANG

IPC: B60W60/00

Abstract: The present disclosure provides an autonomous driving vehicle detection 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: acquiring passengers' ride information on an autonomous driving vehicle; determining a vehicle component change state of the autonomous driving vehicle according to the ride information of the autonomous driving vehicle; wherein the vehicle component change state includes a door change state of the autonomous driving vehicle and a seat belt change state of the autonomous driving vehicle; and determining a seat load of the autonomous driving vehicle according to the vehicle component change state of the autonomous driving vehicle.