US Patent Application 17895496. METHOD FOR DETECTING THREE-DIMENSIONAL OBJECTS IN RELATION TO AUTONOMOUS DRIVING AND ELECTRONIC DEVICE simplified abstract
METHOD FOR DETECTING THREE-DIMENSIONAL OBJECTS IN RELATION TO AUTONOMOUS DRIVING AND ELECTRONIC DEVICE
Organization Name
HON HAI PRECISION INDUSTRY CO., LTD.
Inventor(s)
CHIN-PIN Kuo of New Taipei (TW)
METHOD FOR DETECTING THREE-DIMENSIONAL OBJECTS IN RELATION TO AUTONOMOUS DRIVING AND ELECTRONIC DEVICE - A simplified explanation of the abstract
This abstract first appeared for US patent application 17895496 titled 'METHOD FOR DETECTING THREE-DIMENSIONAL OBJECTS IN RELATION TO AUTONOMOUS DRIVING AND ELECTRONIC DEVICE
Simplified Explanation
- The patent application describes a method for detecting 3D objects in relation to autonomous driving using an electronic device. - The device obtains detection images and depth images as input. - It uses a trained object detection model to determine the categories of objects and their 2D bounding boxes in the detection images. - The device then determines object models and 3D bounding boxes of the objects based on their categories. - It calculates point cloud data and distances from the depth camera to the object models of the selected objects. - The device also determines the angles of rotation of the object models based on the object models and point cloud data. - It can determine the respective positions of the objects in 3D space using the distance, rotation angles, and 3D bounding boxes.
Original Abstract Submitted
A method for detecting three-dimensional (3D) objects in relation to autonomous driving is applied in an electronic device. The device obtains detection images and depth images, =inputs the detection images into a trained object detection model to determine categories of objects in the detection images and two-dimensional (2D) bounding boxes of the objects. The device determines object models of the objects and 3D bounding boxes of the object models according to the object categories, and calculates point cloud data of the objects selected and distances from the depth camera to the object models. The device determines angles of rotation of the object models of the objects according to the object models of the objects and the point cloud data, and can determine respective positions of the objects in 3D space according to the distance from the depth camera to the object models, the rotation angles, and the 3D bounding boxes.
