VISION SYSTEM CALIBRATION OF AGRICULTURAL WHEELED-MOBILE ROBOT BASED ON BP NEURAL NETWORK

摘要：

Camera calibration is the base of the machine vision based the autonomous navigation of the agricultural wheeled-mobile robots.There are the complex nonlinear relationship between the actual position points and the matched image points.Therefore the camera parameters have to be calculated by a precise imaging model.The more precise the imaging model requires, the more complicated the calibration becomes.it was proved that some traditional calibration methods, such as the method of Zhengyou Zhang, were inconvenient and their accuracy were also low.In this paper, according to the characteristic of the BP neural network, which can express any nonlinear relationship between inputs and outputs, a new method based on the BP neural network was applied to calibrate the vision system of an agricultural wheeled-mobile robot.The experimental results showed that this method was feasible and accurate.

关键词： BP neural network Agricultural wheeled-mobile robot Vision Calibration

作者: BO ZHAO ZHONG-XIANG ZHU EN-RONG MAO ZHENG-HE SONG

作者单位: College of Engineering, China Agricultural University, Beijing 100083, China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 340-344

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）