摘要
电子器件性能和制造工艺的飞速发展为交通管理提供了精确的实时数据以及丰富的历史数据,使交通智能控制成为可能。然而现今各种传感器、图像采集设备给传统的交通管理带来很大的挑战和冲击,交通信息易受模糊、光照、噪声等因素影响,大量数据需要经过分析才能使用,这与传统的人工处理效率低下成为十分尖锐的矛盾。本研究致力于一套融入物联网、图像处理及模式识别理论的智能交通软件系统,辅助交通管理。
The rapid development of electronic device performance and manufacturing technology provides accurate real-time data and historical data for traffic management, making possible of controlling traffic intelligent. However, the various sensors,the equipment of image acquisition today posed great challenge to the traditional traffic management. Traffic information is easily affected by the factors such as fuzzy, illumination and noise, a large amount of data need to analysing. That become the contradiction with the traditional manual handling. This study focuses on an intelligent Transportation System software integrated into the Internet of things, image processing and pattern recognition theory, auxiliary traffic management.
出处
《科技视界》
2015年第35期58-59,共2页
Science & Technology Vision
基金
国家自然科学基金(61170106)
山东省科学技术发展计划项目(2012YD01058)
关键词
智能交通
图像复原
物联网
交通管理
Intelligent Transportation System
Image restoration
Internet of things
Traffic management
