Company Filing History:
2 out of 19,748 
2 out of 40 Years Active: 2018-2019
Title: Innovations of Qiwei Xie in Object Recognition and Noise Removal
Introduction
Qiwei Xie is a notable inventor based in Nagoya, Japan. He has made significant contributions to the fields of object recognition and noise removal technologies. With a total of 2 patents to his name, Xie's work is characterized by innovative approaches to complex problems in image processing.
Latest Patents
Xie's latest patents include an object recognition apparatus and a noise removal method. The object recognition apparatus utilizes a range point acquirer that irradiates various areas in a grid formation to detect targets using laser light. It captures reflected light to acquire multiple range points, which represent the coordinates of the target. A noise remover then analyzes these range points to identify and eliminate noise points, enhancing the accuracy of object recognition.
The second patent, a corresponding point searching method and distance detection device, focuses on improving the accuracy of point matching in images captured by in-vehicle cameras. This method employs two predetermined techniques, such as the Viterbi algorithm and optical flow method, to ensure high accuracy in detecting corresponding points across multiple images.
Career Highlights
Throughout his career, Qiwei Xie has worked with prominent companies such as Denso Corporation and the Toyota School Foundation. His experience in these organizations has allowed him to develop and refine his innovative technologies, contributing to advancements in automotive and imaging systems.
Collaborations
Xie has collaborated with notable professionals in his field, including Hossein Tehrani Niknejad and Seiichi Mita. These collaborations have further enriched his work and expanded the impact of his inventions.
Conclusion
Qiwei Xie's contributions to object recognition and noise removal technologies demonstrate his innovative spirit and technical expertise. His patents reflect a commitment to enhancing image processing methods, making significant strides in the industry.