公开(公告)号：US20230046274A1

公开(公告)日：2023-02-16

申请号：US17445129

申请日：2021-08-16

Applicant: Waymo LLC

Inventor： Xu Chen ,  Nichola Abdo ,  Ruichi Yu ,  Chang Gao

IPC: G01S7/41 ,  G06K9/00 ,  G06K9/62 ,  G06T7/20 ,  G01S13/86 ,  G01S13/931 ,  B60W60/00

Abstract: The described aspects and implementations enable fast and accurate verification of radar detection of objects in autonomous vehicle (AV) applications using combined processing of radar data and camera images. In one implementation, disclosed is a method and a system to perform the method that includes obtaining a radar data characterizing intensity of radar reflections from an environment of the AV, identifying, based on the radar data, a candidate object, obtaining a camera image depicting a region where the candidate object is located, and processing the radar data and the camera image using one or more machine-learning models to obtain a classification measure representing a likelihood that the candidate object is a real object.

公开(公告)号：US12276752B2

公开(公告)日：2025-04-15

申请号：US17445129

申请日：2021-08-16

Applicant: Waymo LLC

Inventor： Xu Chen ,  Nichola Abdo ,  Ruichi Yu ,  Chang Gao

IPC: G01S7/41 ,  B60W60/00 ,  G01S13/86 ,  G01S13/931 ,  G06F18/24 ,  G06F18/25 ,  G06T7/20 ,  G06V20/56

Abstract: The described aspects and implementations enable fast and accurate verification of radar detection of objects in autonomous vehicle (AV) applications using combined processing of radar data and camera images. In one implementation, disclosed is a method and a system to perform the method that includes obtaining a radar data characterizing intensity of radar reflections from an environment of the AV, identifying, based on the radar data, a candidate object, obtaining a camera image depicting a region where the candidate object is located, and processing the radar data and the camera image using one or more machine-learning models to obtain a classification measure representing a likelihood that the candidate object is a real object.