计算机科学
霍夫变换
Canny边缘检测器
边缘检测
操作员(生物学)
目标检测
容器(类型理论)
试验台
接口(物质)
GSM演进的增强数据速率
计算机视觉
实时计算
人工智能
端口(电路理论)
算法
图像处理
工程类
图像(数学)
模式识别(心理学)
操作系统
电子工程
基因
最大气泡压力法
转录因子
气泡
抑制因子
机械工程
化学
生物化学
计算机网络
作者
Xiang Gao,Hen-Geul Yeh,Panadda Marayong
出处
期刊:2017 Annual IEEE International Systems Conference (SysCon)
日期:2017-04-01
被引量:2
标识
DOI:10.1109/syscon.2017.7934703
摘要
Improvement to user interface technology for port crane operators can lead to safer and more ergonomie environments for cargo transport. An accurate and responsive container-handling guidance system can increase productivity and reduces costs. In this work, a vision-based assistive system for quayside crane operator is developed for collision warning. The system applies a new object edge detection algorithm, called Edge Approaching, to achieve faster detection rate in real-time using a stand-alone embedded system that can be easily integrated to an existing crane interface. Experiments are conducted on a scaled testbed to validate the concept. The proposed algorithms significantly increase the detection rate from as compared to the conventional Canny edge detection and Hough transform method, while maintaining a high accuracy rate of 99%.
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