Company Filing History:
Years Active: 2021-2023
Title: Mamoru Miura: Innovator in Geographic Object Detection
Introduction
Mamoru Miura is a prominent inventor based in Tokyo, Japan. He has made significant contributions to the field of geographic object detection, holding a total of 3 patents. His work focuses on enhancing the accuracy and efficiency of geographic object recognition and positioning.
Latest Patents
One of his latest patents is the "Geographic object detection apparatus and geographic object detection method." This invention involves a geographic object recognition unit that utilizes image data obtained from photographing a measurement region to identify the type of geographic object present. Additionally, a position specification unit employs three-dimensional point cloud data to determine the geographic object's position accurately.
Another notable patent is the "Position control device and position control method." This invention includes an imaging unit that captures images of two objects. The control parameter generation unit processes the captured image through a neural network to output a position control amount. This amount is then used to control the positional relationship between the two objects, allowing for precise alignment even in the presence of differences or errors.
Career Highlights
Mamoru Miura is associated with Mitsubishi Electric Corporation, where he continues to innovate and develop advanced technologies. His work has significantly impacted the field of geographic object detection, showcasing his expertise and dedication to improving technological solutions.
Collaborations
Throughout his career, Miura has collaborated with notable colleagues, including Toshisada Mariyama and Wataru Matsumoto. These collaborations have contributed to the advancement of his research and the successful development of his patents.
Conclusion
Mamoru Miura's contributions to geographic object detection exemplify his innovative spirit and commitment to technological advancement. His patents reflect a deep understanding of complex systems and a drive to enhance the accuracy of geographic object recognition.