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首页> 外文期刊>Transactions of the ASABE >Performance Validation of a Multi-Channel LiDAR Sensor: Assessing the Effects of Target Height and Sensor Velocity on Measurement Error
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Performance Validation of a Multi-Channel LiDAR Sensor: Assessing the Effects of Target Height and Sensor Velocity on Measurement Error

机译:多通道LIDAR传感器的性能验证:评估目标高度和传感器速度对测量误差的影响

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摘要

The objective of this study was to determine the effects of sensor velocity and target height above ground level on height measurement error when using a multi-channel LiDAR sensor. A linear motion system was developed to precisely control the dynamics of the LiDAR sensor in an effort to remove uncertainty in the LiDAR position and velocity while under motion. The linear motion system allowed the LiDAR to translate forward and backward in one direction parallel to the ground. A user control interfacewas developed to operate the system under different velocity profiles and to log LiDAR data synchronous to the motion of the system. The performance of the linear motion system was validated with a tracking total station, and the results showed that theposition and velocity control errors were negligible as compared to the LiDAR accuracy. The LiDAR was then validated using 25 test targets at varying heights above ground level (0.1, 0.3, 0.5, 0.6, and 0.8 m) with five different velocity profiles (0.1,0.5, 1.0, 1.5, and 2.2 m s'1) and six replications to determine the effects of sensor velocity and target height on measurement error. The targets were painted white on one side and black on the other to determine the effect of relative intensity on LiDAR height measurement error. Generalized linear mixed models were fitted with the measurement error and the standard deviation of the measurement error as the responses. Sensor velocity, target height, and their interaction were considered as fixed effects to determine if there were significant differences in average error and standard deviation of error for different sensor velocities and target heights. The results indicated that the velocity of the LiDAR was a significant factor affecting the averageerror and standard deviation of error in height measurements. However, higher velocities tended to result in only slightly larger average errors. A three-fold increase in the standard deviation was observed when increasing the velocity from 0.1 to 2.2 ms'1. Height of the target was either a weakly significant or insignificant factor in average error and a weakly significant factor affecting the standard deviation of the LiDAR measurements, representing mixed results. The average error and standard deviation were less than 10 and 30 mm, respectively, for all replications. Relative intensities of the LiDAR measurements were 88.2% and 5.4%> for white and black targets, respectively, and the different target colors exhibited a 4.7 mm shift in average estimated height error. These uncertainties may not be substantial for agricultural applications, where other sources of error, such as moving crop canopies or error in resolving the position of the sensor, are more likely to dominate overall measurement error.
机译:本研究的目的是在使用多通道LIDAR传感器时确定传感器速度和目标高度在地面上高度测量误差的影响。开发了线性运动系统,以精确地控制LIDAR传感器的动态,以努力消除LIDAR位置和速度的不确定性。线性运动系统允许激光雷达在平行于地的一个方向上转换向前和向后转换。开发用户控制界面以在不同的速度配置文件下操作系统,并与系统的运动同步日志LIDAR数据。线性运动系统的性能被验证,具有跟踪总站,结果表明,与激光雷达精度相比,旋转和速度控制误差可忽略不计。然后使用25个测试靶标经过验证的LIDAR,其在地上水平上方的不同高度(0.1,0.3,0.5,0.6和0.8米),其中五种不同的速度曲线(0.1,0.5,1.0,1.5和2.2 m S'1)和六种复制来确定传感器速度和目标高度对测量误差的影响。在一侧涂上白色的目标,另一侧是黑色的,以确定相对强度对激光雷达高度测量误差的影响。广义的线性混合模型配有测量误差和测量误差的标准偏差作为响应。传感器速度,目标高度和它们的交互被认为是固定效应,以确定是否存在平均误差的显着差异和不同传感器速度和目标高度的误差的标准偏差。结果表明,LIDAR的速度是影响高度测量中误差的普通误差和标准偏差的重要因素。然而,较高的速度倾向于导致平均误差略大。当将0.1至2.2ms1的速度增加时,观察到标准偏差的三倍增加。靶标的高度是平均误差的弱显着或微不足道的因素,以及影响激光雷达测量标准偏差的弱显着因素,代表混合结果。对于所有复制,平均误差和标准偏差分别小于10和30mm。 LIDAR测量的相对强度分别为白色和黑色目标的88.2%和5.4%,不同的目标颜色显示平均估计高度误差的4.7mm变频。这些不确定因素可能对农业应用不实质性,其中其他误差来源,例如移动作物檐篷或误差在解决传感器的位置,更有可能主导整体测量误差。

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