摘要
分析了GPS技术、机器视觉和多传感器融合技术在自动导航中的应用研究进展。GPS技术具有较高精度,机器视觉能够采集丰富的环境信息,而多传感器融合技术能够结合GPS技术和机器视觉等导航模式的优点,用不同的传感器可组合出高精度、高可靠性的导航策略。但GPS精度和可靠性容易受到环境因素的影响,机器视觉导航应用中的图像处理受自然光线等条件的干扰很大,图像处理算法的速度不够快,多传感器融合技术在传感器精度、信息获取和处理速度以及抗干扰能力方面存在一些问题。因此解决这些存在的问题,有利于自动导航技术在农业工程中的广泛应用。
Research progress of GPS, machine vision and multi-sensor fusion technologies applied in automatic guidance was analyzed in this paper. GPS has the advantage of high accuracy. Machine vision can acquire affluent environment information. Sensor fusion using different sensors to form high accuracy and high reliability naviga- tion strategy can combine both advantages of GPS and machine vision. However, the accuracy and reliability of GPS are easily affected by environmental factors. Vision processing in machine vision guidance is greatly interfered by natural light, etc.. Furthermore, vision arithmetic is not fast enough. For sensor fusion, there are still some problems when concerning about sensor precision, information acquirement, data processing speed and capability of anti-disturbance, etc.. Solving the above problems will promote the application of automatic navigation in agricultural engineering.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2006年第9期232-236,共5页
Transactions of the Chinese Society of Agricultural Engineering
关键词
自动导航
GPS
机器视觉
多传感器融合技术
automatic guidance
GPS
machine vision
multi-sensor fusion technology
