Company Filing History:
Years Active: 2019-2024
Title: Wanli Jiang: Innovator in Parallel Processing and Optimization Technologies
Introduction
Wanli Jiang is a prominent inventor based in Shanghai, China, known for his significant contributions to technology through his innovative patents. With a total of 10 patents to his name, Jiang has made strides in the fields of image processing and vehicle trajectory optimization.
Latest Patents
One of Jiang's latest patents is focused on performing non-maximum suppression in parallel. This invention includes apparatuses, systems, and techniques designed to execute non-maximum suppression (NMS) in parallel, effectively removing redundant bounding boxes from digital images. In this patent, multiple parallel circuits are utilized to carry out different portions of the NMS algorithm simultaneously, enhancing efficiency in processing images.
Another notable patent is a method and apparatus for optimizing scan data and correcting trajectory. This invention optimizes scan data obtained from sensors on vehicles and corrects the trajectory for vehicles or robots based on this optimized data. The method involves several steps, including obtaining scan data, cluster processing, establishing correspondence among frames of scan data, and optimizing the clusters to produce an improved scan data output.
Career Highlights
Throughout his career, Wanli Jiang has worked with esteemed companies such as Bayerische Motoren Werke Aktiengesellschaft (BMW) and ABB Schweiz AG. His experience in these organizations has contributed to his expertise in developing advanced technologies.
Collaborations
Jiang has collaborated with notable colleagues, including Qianshan Li and Maximilian Doemling, who have contributed to his innovative projects and research endeavors.
Conclusion
Wanli Jiang's work exemplifies the spirit of innovation in technology, particularly in the areas of image processing and vehicle optimization. His patents reflect a commitment to enhancing efficiency and accuracy in these fields.