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驾驶模拟器中的前庭感觉案例研究。

A Case Study on Vestibular Sensations in Driving Simulators.

机构信息

Computer Science Department, Higher Technical School of Engineering, University of Valencia, 46010 Valencia, Spain.

Institute of Robotics, Information Technologies and Communication Research (IRTIC), University of Valencia, 46010 Valencia, Spain.

出版信息

Sensors (Basel). 2022 Aug 4;22(15):5837. doi: 10.3390/s22155837.

Abstract

Motion platforms have been used in simulators of all types for several decades. Since it is impossible to reproduce the accelerations of a vehicle without limitations through a physically limited system (platform), it is common to use washout filters and motion cueing algorithms (MCA) to select which accelerations are reproduced and which are not. Despite the time that has passed since their development, most of these algorithms still use the classical washout algorithm. In the use of these MCAs, there is always information that is lost and, if that information is important for the purpose of the simulator (the training simulators), the result obtained by the users of that simulator will not be satisfactory. This paper shows a case study where a BMW 325Xi AUT fitted with a sensor, recorded the accelerations produced in all degrees of freedom (DOF) during several runs, and data have been introduced in mathematical simulation software (washout + kinematics + actuator simulation) of a 6DOF motion platform. The input to the system has been qualitatively compared with the output, observing that most of the simulation adequately reflects the input to the system. Still, there are three events where the accelerations are lost. These events are considered by experts to be of vital importance for the outcome of a learning process in the simulator to be adequate.

摘要

运动平台已经在各种模拟器中使用了几十年。由于不可能通过物理上有限的系统(平台)无限制地再现车辆的加速度,因此通常使用冲洗滤波器和运动提示算法(MCA)来选择再现哪些加速度和不再现哪些加速度。尽管自这些算法开发以来已经过去了一段时间,但其中大多数算法仍然使用经典的冲洗算法。在这些 MCA 的使用中,总会有信息丢失,如果该信息对于模拟器的目的(培训模拟器)很重要,则该模拟器的用户获得的结果将不会令人满意。本文展示了一个案例研究,其中一辆配备传感器的 BMW 325Xi AUT 在几次行驶中记录了所有自由度(DOF)产生的加速度,并将数据引入了 6DOF 运动平台的数学模拟软件(冲洗+运动学+执行器模拟)中。系统的输入与输出进行了定性比较,观察到大多数模拟都很好地反映了系统的输入。尽管如此,仍有三个事件会丢失加速度。这些事件被专家认为对于在模拟器中进行学习过程的结果是否足够至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdd1/9371164/e731b8dd07ab/sensors-22-05837-g001.jpg

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