联合收获机大曲率路径视觉导航方法
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中央高校基本科研业务费专项资金资助项目(2009JC001)


Large Curvature Path Detection for Combine Harvester Based on Vision Navigation
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    摘要:

    针对联合收获机大曲率路径难检测的问题,在旋转投影直线检测的基础上提出了双切线大曲率路径转弯半径估计算法。基于简化的二轮车运动学模型,在联合收获机机器视觉导航试验平台上,设计了智能控制器,以便根据不同路径选择不同的控制方式。路面与麦田试验结果表明:双切线转弯半径估计算法能够有效地检测曲线路径转弯半径;在小麦正常收获速度下,联合收获机能够跟踪转弯半径大于10m的曲线路径,路面曲线跟踪误差最大值为0.19m,田间曲线边界跟踪过程中割幅变化范围最大为0.29m。

    Abstract:

    For the difficult problem of detecting large curvature path of nature image processing, a double tangent-line detection algorithm for turning radius based on rotation and projection line detection arithmetic was put forward. On the base of kinematics of simplified two-wheel vehicle model, an intelligent controller was constructed for the vision navigation test platform of combine harvester. The controller could select different control mode according to the different path (including straight path and curve path). The tests on road with tag line and in wheat field with curvature cut boundary showed that the double tangent-line detection algorithm was valid to detect turning radius and the system could trace the curvature path whose radius was greater than 10m. During the normal working speed, the maximum error of tracing large curvature path on road was 0.19m and in field the change of harvesting width was within 0.29m. 

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丁幼春,廖庆喜,黄海东,段宏兵.联合收获机大曲率路径视觉导航方法[J].农业机械学报,2011,42(Z1):122-127.

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