摘要
为保证无人驾驶车辆图像采集系统能够在光线强弱变化的环境中获取更为可靠的道路信息,提供更多的道路边界,提出一种自适应曝光算法。利用光学传感器特性,将采集图像转化为灰度值,并逐行进行动态阈值比对处理,快速获取下一周期正确曝光点。在道路实际的测试中,该算法能够快速并有效获取道路信息,后续的边界处理较为清晰。
In order to ensure the unmanned vehicle image acquisition system can obtain more reliable road information even in environment of changeable intensity of light,an auto-adaptive exposure algorithm is proposed in the paper.The collected images is converted into gray value according to the features of optical sensor.In order to get the right exposure points of next period, the dynamic threshold is compared and processed line by line.In the real road test,this algorithm can get a fast and effective road information,and the handling of subsequent boundary is more clear.
作者
程岩
李宝林
Cheng Yan Li Baolin(Jiangsu Vocational College of Information Teehnology,Wuxi 214153,China China University Mining and Technology)
出处
《单片机与嵌入式系统应用》
2017年第11期11-13,共3页
Microcontrollers & Embedded Systems
关键词
无人驾驶
自适应曝光算法
动态阈值
unmanned vehicle
adaptive exposure algorithm
dynamic threshold
