Image Classification for Advanced Driving Assistant System in Electric Wheelchair
Image Classification for Advanced Driving Assistant System in Electric Wheelchair
复制标题
电动轮椅高级驾驶辅助系统的图像分类
DOI：
10.1109/lifetech53646.2022.9754888
复制
发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Masahiro Yamawaki and Kousuke Matsushima
中科院分区：
文献类型：
--
作者：
Kazuaki Sugai;Kohei Shirai;Kitahiro Kaneda;Keiichi Iwamura;Kohta Uematsu and Kousuke Matsushima;Reiya Murasaki and Kousuke Matsushima;Masahiro Yamawaki and Kousuke Matsushima
由于老年人的交通事故，日本对电动轮椅等福利设备的需求正在增加。在汽车领域中，对安全驾驶支架的研究一直存在很多分歧。不过，在电动轮椅领域，并没有先进太多。在本研究中，我们以实际人行道图像作为机器学习数据集，针对电动轮椅高级驾驶辅助系统（ADAS）提出了一种通过自监督学习（SSL）进行机器学习的方法以及根据结果进行图像分类的方法。
Demands for welfare equipment such as electric wheelchairs are increasing in Japan, because of traffic accidents by the elderly. In the field of automobiles, the safety driving supports have been researched in many divergences. However, in the field of electric wheelchairs, not advanced too much. In this study, we propose a method of machine learning by Self-Supervised Learning (SSL) and a method of image classification according to the results, using actual sidewalk images as a machine learning dataset, to Advanced Driving Assistant System (ADAS) of electric wheelchairs.