US Patent Application 17854301. METHOD FOR DETECTION OF THREE-DIMENSIONAL OBJECTS AND ELECTRONIC DEVICE simplified abstract

METHOD FOR DETECTION OF THREE-DIMENSIONAL OBJECTS AND ELECTRONIC DEVICE

Organization Name

HON HAI PRECISION INDUSTRY CO., LTD.

Inventor(s)

CHIH-TE Lu of New Taipei (TW)

CHIEH Lee of New Taipei (TW)

CHIN-PIN Kuo of New Taipei (TW)

METHOD FOR DETECTION OF THREE-DIMENSIONAL OBJECTS AND ELECTRONIC DEVICE - A simplified explanation of the abstract

This abstract first appeared for US patent application 17854301 titled 'METHOD FOR DETECTION OF THREE-DIMENSIONAL OBJECTS AND ELECTRONIC DEVICE

Simplified Explanation

The patent application describes a method for using machine learning to detect 3D objects on or near a roadway using an electronic device.

• The method involves obtaining images of the road and inputting them into a trained object detection model.
• The model then determines the categories of objects in the images, as well as their 2D bounding boxes and rotation angles.
• The electronic device uses this information to determine object models and their 3D bounding boxes.
• The distance from the camera to the object models is determined based on the size of the 2D bounding boxes, image information, and focal length of the camera.
• The positions of the object models in a 3D space can be determined using the rotation angles, distance, and 3D bounding boxes.
• These positions are considered as the positions of the objects in the 3D space.

Original Abstract Submitted

A method for detection of three-dimensional (3D) objects on or around a roadway by machine learning, applied in an electronic device, obtains images of road, inputs the images into a trained object detection model, and determines categories of objects in the images, two-dimensional (2D) bounding boxes of the objects, and parallax (rotation)angles of the objects. The electronic device determines object models and 3D bounding boxes of the object models and determines distance from the camera to the object models according to size of the 2D bounding boxes, image information of the detection images, and focal length of the camera. The positions of the object models in a 3D space can be determined according to the rotation angles, the distance, and the 3D bounding boxes, and the positions of the object models are taken as the position of the objects in the 3D space.