公开(公告)号：US11796670B2

公开(公告)日：2023-10-24

申请号：US17325762

申请日：2021-05-20

Applicant: Beijing Baidu Netcom Science and Technology Co., Ltd. ,  Baidu USA LLC

Inventor： Jin Fang ,  Dingfu Zhou ,  Xibin Song ,  Liangjun Zhang

IPC: G01S13/89 ,  G01S13/42

CPC classification number: G01S13/89 ,  G01S13/42

Abstract: A radar point cloud data processing method and device, an apparatus, and storage medium are provided, which are related to technical fields of radar point cloud, automatic driving, and deep learning. An implementation includes: determining a target location area where a target object is located by utilizing a target detection box in the radar point cloud data; removing each point of the target object in the target location area from the radar point cloud data; and adding an object model to the target location area. By applying embodiments of the present disclosure, richer radar point cloud data may be obtained by removing the target object from the radar point cloud data and adding the needed three-dimensional model to the target location area in the radar point cloud data.

公开(公告)号：US11841921B2

公开(公告)日：2023-12-12

申请号：US17112247

申请日：2020-12-04

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

Inventor： Xibin Song ,  Dingfu Zhou ,  Jin Fang ,  Liangjun Zhang

IPC: G06T7/50 ,  G06N20/00 ,  G06F18/214 ,  G06V10/42 ,  G06T3/40

CPC classification number: G06F18/214 ,  G06N20/00 ,  G06T3/40 ,  G06T7/50 ,  G06V10/42 ,  G06T2207/10028 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: The present application provides a model training method and apparatus, and a prediction method and apparatus, and it relates to fields of artificial intelligence, deep learning, image processing, and autonomous driving. The model training method includes: inputting a first sample image of sample images into a depth information prediction model, and acquiring depth information of the first sample image; acquiring inter-image posture information based on a second sample image of the sample images and the first sample image; acquiring a projection image corresponding to the first sample image, at least according to the inter-image posture information and the depth information; and acquiring a loss function by determining a function for calculating a similarity between the second sample image and the projection image, and training the depth information prediction model using the loss function.

公开(公告)号：US20210270958A1

公开(公告)日：2021-09-02

申请号：US17325762

申请日：2021-05-20

Applicant: Beijing Baidu Netcom Science and Technology Co., Ltd. ,  Baidu USA LLC

Inventor： Jin Fang ,  Dingfu Zhou ,  Xibin Song ,  Liangjun Zhang

IPC: G01S13/89 ,  G01S13/42

Abstract: A radar point cloud data processing method and device, an apparatus, and storage medium are provided, which are related to technical fields of radar point cloud, automatic driving, and deep learning. An implementation includes: determining a target location area where a target object is located by utilizing a target detection box in the radar point cloud data; removing each point of the target object in the target location area from the radar point cloud data; and adding an object model to the target location area. By applying embodiments of the present disclosure, richer radar point cloud data may be obtained by removing the target object from the radar point cloud data and adding the needed three-dimensional model to the target location area in the radar point cloud data.