US Patent Application 17733150. SYSTEM AND METHOD FOR OPTIMIZING A BOUNDING BOX USING AN ITERATIVE CLOSEST POINT ALGORITHM simplified abstract
Contents
SYSTEM AND METHOD FOR OPTIMIZING A BOUNDING BOX USING AN ITERATIVE CLOSEST POINT ALGORITHM
Organization Name
TOYOTA JIDOSHA KABUSHIKI KAISHA
Inventor(s)
Jacopo Serafin of Los Altos CA (US)
SYSTEM AND METHOD FOR OPTIMIZING A BOUNDING BOX USING AN ITERATIVE CLOSEST POINT ALGORITHM - A simplified explanation of the abstract
This abstract first appeared for US patent application 17733150 titled 'SYSTEM AND METHOD FOR OPTIMIZING A BOUNDING BOX USING AN ITERATIVE CLOSEST POINT ALGORITHM
Simplified Explanation
- The patent application describes systems and methods for optimizing bounding boxes generated using point cloud information. - The optimization process involves using an iterative closest point (ICP) algorithm to transform the bounding box using a transformation. - The point cloud serves as the reference for the ICP algorithm, while the bounding box serves as the source for the ICP algorithm. - The goal is to improve the accuracy and precision of the bounding box by aligning it more closely with the point cloud data. - The optimization process is iterative, meaning it involves multiple iterations to refine the transformation and achieve a better alignment. - This innovation can be applied in various fields where point cloud data and bounding boxes are used, such as object detection, computer vision, and autonomous driving.
Original Abstract Submitted
Systems and methods are described for optimizing bounding boxes generated using point cloud information. In one example, a method for optimizing the bounding box includes the step of using an iterative closet point (ICP) algorithm to transform the bounding box using a transformation. The point cloud acts as the reference for the ICP algorithm, while the bounding box acts as the source for the ICP algorithm.
