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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。
The application and research progress of GPS technology, machine vision and multi-sensor fusion technology in automatic navigation are analyzed. GPS technology has high precision, and machine vision can gather abundant environmental information. Multi-sensor fusion technology can combine the advantages of GPS technology and navigation modes such as machine vision, etc., and can use different sensors to combine high-precision and high-reliability navigation strategies . However, GPS accuracy and reliability are easily affected by environmental factors. Image processing in machine vision navigation applications is greatly disturbed by conditions such as natural light, and the speed of image processing algorithms is not fast enough. The accuracy of multi-sensor fusion technology in sensor accuracy, information acquisition and Processing speed and anti-interference ability there are some problems. Therefore, to solve these existing problems is conducive to the application of automatic navigation technology in agricultural engineering.