Development of Elemental Technology for Practical Use of Night-Vision Using Visible Light

在未来十年中，车载行人检测系统将在提高交通安全的挑战中发挥关键作用。这项研究工作的主要目标是鲁棒地检测行人在城市场景下，即使在光照变化和杂乱的环境。我们提出了一种改进的行人检测方法，使用姿态测量单元（AMU）结合多狭缝数据。通过实验结果，它已被证实，所提出的技术的集成将产生一个更经济，准确，通用的系统。

During the next decade, on-board pedestrian detection systems will play a key role in the challenge of increasing traffic safety. The main goal of this research work is to detect robustly pedestrians in urban scenarios even under illumination changes and cluttered environments. We proposed an improved method for pedestrian detection using an Attitude Measurement Unit(AMU) in conjunction with multi-slit data. Through experimental results, it has been confirmed that the integration of the proposed techniques will give rise to a more economical, accurate, and versatile system.