Company Filing History:
Years Active: 2022-2025
Title: Ayano Miyashita: Innovator in Three-Dimensional Object Detection
Introduction
Ayano Miyashita is a notable inventor based in Saitama, Japan. She has made significant contributions to the field of three-dimensional object detection, holding three patents that showcase her innovative approach to technology.
Latest Patents
Miyashita's latest patents include a three-dimensional-object detection device, an on-vehicle system, and a three-dimensional-object detection method. The three-dimensional object detecting device generates a mask image that masks regions outside a three-dimensional object candidate region in a difference image of a first overhead image and a second overhead view image for which the imaging locations are mutually aligned. It identifies a near ground contact line of a three-dimensional object based on a masked difference image. The device finds an end point of the three-dimensional object based on the masked difference image, identifies the width of the three-dimensional object based on a distance between a non-masking region boundary and the end point of the three-dimensional object in the mask image, and identifies a far ground contact line of the three-dimensional object based on the width of the three-dimensional object and the near ground contact line. Finally, it identifies the location of the three-dimensional object in the difference image based on the near ground contact line and the far ground contact line.
Another patent, the division line recognition apparatus, is designed to recognize a division line on a road from an image captured by a camera. This apparatus includes a processing area setting unit to set a processing area to the image, a statistics calculation unit to calculate statistics of the image in the processing area, and a threshold value setting unit to set a plurality of threshold values based on the statistics. It also features a division line feature point extraction unit that classifies a plurality of pixels contained in the image based on the white line threshold value and the road surface threshold value, extracting feature points of the division line based on the classification results. The division line decision unit then decides the division line based on the feature points extracted.
Career Highlights
Throughout her career, Ayano Miyashita has worked with prominent companies such as Faurecia Clarion Electronics Co., Ltd. and Clarion Co. These experiences have allowed her to apply her innovative ideas in practical settings, contributing to advancements in automotive technology.
Collaborations
Miyashita has collaborated with notable colleagues, including Naoki Shimiz
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