公开(公告)号：US11710243B2

公开(公告)日：2023-07-25

申请号：US17025313

申请日：2020-09-18

申请人： SENSETIME GROUP LIMITED ,  HONDA MOTOR CO. LTD.

发明人： Shu Zhang ,  Zhaohui Yang ,  Jiaman Li ,  Xingyu Zeng

IPC分类号： G06T7/20 ,  G06T7/70 ,  B60W60/00 ,  B60W30/09 ,  B60W30/095 ,  B60W50/14 ,  G08G1/16 ,  G06V10/764 ,  G06V10/82 ,  G06V20/58 ,  G06V40/10 ,  G06T7/11

CPC分类号： G06T7/20 ,  B60W30/09 ,  B60W30/0956 ,  B60W50/14 ,  B60W60/0015 ,  G06T7/11 ,  G06T7/70 ,  G06V10/764 ,  G06V10/82 ,  G06V20/58 ,  G06V40/103 ,  G08G1/166 ,  B60W2420/42 ,  B60W2554/4029 ,  B60W2554/80 ,  G06T2207/10016 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30196 ,  G06T2207/30244 ,  G06T2207/30256 ,  G06T2207/30261

摘要： A method for predicting a direction of movement of a target object, a method for training a neural network, a smart vehicle control method, a device, an electronic apparatus, a computer readable storage medium, and a computer program. The method for predicting a direction of movement of a target object comprises: acquiring an apparent orientation of a target object in an image captured by a camera device, and acquiring a relative position relationship of the target object in the image and the camera device in three-dimensional space (S100); and determining, according to the apparent orientation of the target object and the relative position relationship, a direction of movement of the target object relative to a traveling direction of the camera device (S110).

公开(公告)号：US11138756B2

公开(公告)日：2021-10-05

申请号：US16837483

申请日：2020-04-01

申请人： SENSETIME GROUP LIMITED ,  HONDA MOTOR CO. LTD.

发明人： Yingjie Cai ,  Shinan Liu ,  Xingyu Zeng ,  Junjie Yan ,  Xiaogang Wang ,  Atsushi Kawamura ,  Yuji Yasui ,  Tokitomo Ariyoshi ,  Yuji Kaneda ,  Yuhi Goto

IPC分类号： G06T7/73 ,  G06T7/50

摘要： A 3D object detection method includes: obtaining two-dimensional (2D) coordinates of at least one predetermined key point of a target object in an image to be processed; constructing a pseudo 3D detection body of the target object in a 2D space according to the 2D coordinates of the at least one predetermined key point; obtaining depth information of a plurality of vertices of the pseudo 3D detection body; and determining a 3D detection body of the target object in a 3D space according to the depth information of the plurality of vertices of the pseudo 3D detection body.