基于Hough空间分析的行人交叉路口传感,以支持视障行人
Takeru Yoshikawa1, Chinthaka Premachandra1,2
1Electrical Engineering and Computer Science, Graduate School of Engineering and Science, Shibaura Institute of Technology, Tokyo 135-8548, Japan.
Sensors (Basel, Switzerland)
|July 14, 2023
概括
一种新的基于摄像头的方法可以准确地检测视力障碍者穿越的行人通道,即使光线较弱或有障碍物. 这种实时系统可以提高视力障碍者独立行走的安全性.
科学领域:
- 计算机视觉 计算机视觉
- 辅助技术 辅助技术 辅助技术
- 机器人技术 机器人技术 机器人技术
背景情况:
- 在全球范围内,视障人士面临独立移动的挑战,特别是在行人过道上.
- 现有的安全措施,如声信号和护送区,并没有完全消除涉及视力障碍者的行人事故.
- 迫切需要先进的技术解决方案来提高视力受损者行人安全.
研究的目的:
- 开发一个自动和准确的传感方法,使用基于摄像头的图像分析,用于行人交叉路口.
- 提高视力障碍者在穿越行人通道时的安全性和独立性.
- 创建一个强大的系统,能够在各种环境条件下有效运行.
主要方法:
- 提出了一种利用Hough空间和直线斜坡分散的新型行人交叉路口检测方法.
- 该方法侧重于白色矩形交叉条纹的边缘进行检测.
- 使用Jetson Nano实现了实时性能,从而实现了潜在的可穿戴应用.
主要成果:
- 提出的方法证明了高精度,达到98.47%的检测率.
- 该系统以每秒大约10.5的近实时速度运行.
- 该算法有效地处理具有挑战性的条件,包括低光环境和部分障碍物.
结论:
- 开发的基于摄像头的传感方法为视力受损者在行人交叉路口检测方面取得了重大进展.
- 它的稳定性,准确性和实时性能使其成为增强独立移动性和安全性的可行解决方案.
- 该系统的效率和适用于可穿戴设备的适用性凸显了其广泛采用和影响的潜力.
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