首页> 外文会议>International Conference on Automation Technology for Off-Road Equipment >AUTONOMOUS GREENHOUSE SPRAYER VEHICLE USING MACHINE VISION AND LADAR FOR STEERING CONTROL
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AUTONOMOUS GREENHOUSE SPRAYER VEHICLE USING MACHINE VISION AND LADAR FOR STEERING CONTROL

机译:使用机器视觉和拉德的自动温室喷雾器用于转向控制

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A six-wheel differential steering vehicle was designed and built to provide a vehicle platform for a greenhouse sprayer. The vehicle was designed to operate as a self-contained system, which would carry the power supply, spray tank, pump, and boom. Independently controlled DC motors were used to provide differential steering for the vehicle. A fuzzy logic-based proportional-derivative controller was developed and tested to navigate the vehicle through the aisle way using machine vision and laser radar range information. The vehicle was tested under three different path configurations using a flexible curvature track. The track was configured for straight, moderate and heavy curved conditions. Path tracking comparisons were made between the vision-based control and a laser radar (ladar) based control. The error was monitored using the ladar as the most accurate measure of the position error between the path centerline and the vehicle centerline. Error comparisons were made using RMS error and average instantaneous error. It was found that the ladar-based control was the better overall guidance sensor under all track conditions. Although, average errors were fairly low at approximately 10mm, the maximum errors left room for improvement at approximately 40mm. It was proposed, that a control scheme which used both machine visions and ladar may provide a more robust guidance control then using independent sensor range data.
机译:设计并建造了六轮差动转向车辆,为温室喷雾器提供车辆平台。该车辆被设计为作为独立系统操作,该系统将携带电源,喷雾罐,泵和吊杆。独立控制的直流电动机用于为车辆提供差动转向。开发并测试了基于模糊的基于逻辑的比例衍生控制器,以使用机器视觉和激光雷达范围信息通过过道的方式导航车辆。使用柔性曲率轨道在三个不同的路径配置下测试车辆。轨道被配置为直线,中等和重弯曲的条件。基于视觉的控制和激光雷达(LADAR)的控制之间进行了路径跟踪比较。使用LADAR监控错误,作为路径中心线和车辆中心线之间的位置误差的最精确度量。使用rms误差和平均瞬时误差进行错误比较。发现基于Ladar的控制是在所有跟踪条件下更好的整体引导传感器。虽然,平均误差约为10mm,但最大误差为约40mm的改善空间。提出,使用两种机器visions和Ladar的控制方案可以提供更强大的引导控制,然后使用独立的传感器范围数据。

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