PEDESTRIAN TRAFFIC LIGHT RECOGNITION FOR THE VISUALLY IMPAIRED
Shun-Hsien Tsao, Yu‐Luen Chen, J. Luh, Jin‐Shin Lai, Te‐Son Kuo, Han-Shuan Wu
National Taiwan University National Taipei University of Education National Taiwan University Hospital
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
In this research, we employ the technology of computer vision to recognize traffic light. We manipulate the color information of traffic light under HSI color space. And then, adding motor tracking technology, we can trap the traffic light which is subjected to a region of interest (ROI) to the center area of monitor. Meanwhile, we assign different frequency (peach) according to red light or green light to inform the people what state the light is. We develop the algorithm at PC with MATLAB. Then, we port the whole system to DSP platform TI TMS320 DM642 EVM. The result is that in the condition of non-complex environment, the system can distinguish the red light from green light, and also can output audio signal by means of speaker.
逐年被引趋势
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
计算机 / AICurrency Recognition and Detection
Advanced Measurement and Detection Methods · Water Quality Monitoring Technologies
参考文献 6
此处列出前 3 条
引用本文 1
按被引量排序,此处列出前 3 条