mean radial error

简明释义

平均径向误差

英英释义

例句

1.The mean radial error 均值径向误差 in the drone's GPS data was analyzed to ensure precise flight paths.

对无人机GPS数据中的mean radial error 均值径向误差进行了分析，以确保飞行路径的精确性。

2.Researchers reported that the mean radial error 均值径向误差 decreased significantly after implementing the new model.

研究人员报告称，在实施新模型后，mean radial error 均值径向误差显著下降。

3.To evaluate the performance of the tracking system, we calculated the mean radial error 均值径向误差 over multiple trials.

为了评估跟踪系统的性能，我们在多个试验中计算了mean radial error 均值径向误差。

4.The algorithm was tested for accuracy, and the results showed a low mean radial error 均值径向误差 of only 2 meters.

该算法经过准确性测试，结果显示低的mean radial error 均值径向误差仅为2米。

5.In our navigation system, we aim to minimize the mean radial error 均值径向误差 to improve user experience.

在我们的导航系统中，我们旨在最小化mean radial error 均值径向误差以改善用户体验。

作文

Understanding the concept of mean radial error is crucial in various fields, particularly in navigation, robotics, and data analysis. The term refers to the average distance between a set of points and a reference point, usually measured in a radial manner. This metric is especially important when evaluating the accuracy of positioning systems or algorithms that predict locations based on certain parameters. In this essay, I will explore the significance of mean radial error in practical applications and how it can impact decision-making processes.In navigation, for instance, the mean radial error plays a vital role in determining the reliability of GPS systems. When a GPS device provides a location, it often comes with an inherent margin of error. By calculating the mean radial error, users can understand how far off the reported position might be from the actual position. This information is particularly valuable for pilots, maritime navigators, and even drivers using navigation apps, as it helps them gauge the reliability of their navigation tools.In robotics, mean radial error is used to assess the performance of robotic arms and autonomous vehicles. For example, when a robot is programmed to pick up objects, measuring the mean radial error of its end effector's position relative to the target object can indicate how well the robot is performing its task. A smaller mean radial error suggests higher precision, which is essential for tasks requiring delicate handling or accurate placement.Furthermore, in data analysis, the mean radial error can serve as a valuable statistic when evaluating predictive models. For instance, if a model predicts the locations of certain events, calculating the mean radial error allows analysts to quantify how well the model performs compared to actual observed data. A lower mean radial error indicates that the model is making accurate predictions, thereby increasing confidence in its application for future forecasts.Understanding the implications of mean radial error also extends to its impact on decision-making. For example, in urban planning, city officials may rely on data that includes mean radial error metrics when deciding where to place new infrastructure or services. If the mean radial error of population density predictions is high, planners may reconsider their strategies to ensure resources are allocated effectively and meet the needs of the community.In conclusion, the concept of mean radial error is a fundamental aspect of assessing accuracy across multiple domains. Whether in navigation, robotics, or data analysis, understanding and applying this metric can lead to better decision-making and improved outcomes. As technology continues to evolve, the importance of accurately measuring mean radial error will only grow, emphasizing the need for professionals in various fields to grasp its significance fully. Thus, mastering the concept of mean radial error is essential for anyone involved in these critical areas of work.

理解均径误差的概念在多个领域中至关重要，特别是在导航、机器人技术和数据分析中。该术语指的是一组点与参考点之间的平均距离，通常以径向方式测量。这一指标在评估定位系统或基于某些参数预测位置的算法的准确性时尤其重要。在这篇文章中，我将探讨均径误差在实际应用中的重要性，以及它如何影响决策过程。例如，在导航中，均径误差在确定GPS系统的可靠性方面发挥着关键作用。当GPS设备提供一个位置时，它通常伴随着固有的误差范围。通过计算均径误差，用户可以了解报告的位置与实际位置可能相差多远。这一信息对于飞行员、海上导航员甚至使用导航应用程序的司机而言尤为宝贵，因为它帮助他们评估导航工具的可靠性。在机器人技术中，均径误差用于评估机器人手臂和自主车辆的性能。例如，当一个机器人被编程去拾取物体时，测量其末端执行器相对于目标物体的位置的均径误差可以表明机器人执行任务的效果。较小的均径误差表明更高的精度，这对于需要精细处理或准确放置的任务至关重要。此外，在数据分析中，均径误差可以作为评估预测模型的有价值统计数据。例如，如果一个模型预测某些事件的位置，计算其均径误差可以使分析师量化模型与实际观察数据相比的表现。较低的均径误差表明模型正在做出准确的预测，从而增加对其在未来预测中应用的信心。理解均径误差的含义也扩展到其对决策的影响。例如，在城市规划中，市官员可能依赖包含均径误差指标的数据来决定新基础设施或服务的放置位置。如果人口密度预测的均径误差很高，规划者可能会重新考虑他们的策略，以确保资源有效分配并满足社区的需求。总之，均径误差的概念是评估多个领域准确性的基本方面。无论是在导航、机器人技术还是数据分析中，理解和应用这一指标都可以导致更好的决策和改善的结果。随着技术的不断发展，准确测量均径误差的重要性只会增加，从而强调各个领域的专业人士充分掌握其重要性的必要性。因此，掌握均径误差的概念对于参与这些关键工作领域的任何人来说都是必不可少的。