Honda Motor Co., Ltd.

Beijing Sensetime Technology Development Co., Ltd.

Sensetime Group Limited

Xingyu Zeng

Xiaogang Wang

Junjie Yan

Yingjie Cai

Shinan Liu

Yuji Yasui

Atsushi Kawamura

Yuji Kaneda

Tokitomo Ariyoshi

Yuhi Goto

Shu Zhang

Zhaohui Yang

Jiaman Li

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 (S); 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 (S).

Method for predicting direction of movement of target object, vehicle control method, and device

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.

Three-dimensional object detection method and device, method and device for controlling smart driving, medium and apparatus

Disclosed in embodiments of the present disclosure are an object three-dimensional detection method and apparatus, an intelligent driving control method and apparatus, a medium, and a device. The object three-dimensional detection method comprises: obtaining two-dimensional coordinates of a key point of a target object in an image to be processed; constructing a pseudo three-dimensional detection body of the target object according to the two-dimensional coordinates of the key point; obtaining depth information of the key point; and determining a three-dimensional detection body of the target object according to the depth information of the key point and the pseudo three-dimensional detection body.

Object three-dimensional detection method and apparatus, intelligent driving control method and apparatus, medium and device

A vehicle lamp detection method includes: obtaining an image block including an image of a vehicle; and performing vehicle lamp detection on the image block by means of a deep neural network, to obtain a vehicle lamp detection result.

Vehicle lamp detection methods and apparatuses, methods and apparatuses for implementing intelligent driving, media and devices

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Beijing, China

Xingyu Zeng