通信延迟异常值检测和使用随机状态估计进行远程操作的补偿.
Eugene Kim1, Myeonghwan Hwang1, Taeyoon Lim1
1Korea Institute of Industrial Technology, Gwangju 61012, Republic of Korea.
Sensors (Basel, Switzerland)
|February 24, 2024
概括
这项研究解决了自动驾驶的安全挑战,特别是关于远程操作. 一种新的随机方法有效地检测和分类通信延迟异常值,提高车辆控制系统的弹性.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 计算机科学 计算机科学
- 电气工程 电气工程
背景情况:
- 自动驾驶系统在复杂的城市和动态环境中面临安全挑战.
- 远程操作是自动驾驶汽车脱离的解决方案,但由于无线通信的不稳定性,它带来了风险.
- 通信延迟异常值可能会损害远程运营商的情境意识,破坏控制信号.
研究的目的:
- 开发一种方法来检测和分类远程操作的自动驾驶汽车中的通信延迟异常值.
- 在远程操作过程中提高自动驾驶系统的安全性和可靠性.
主要方法:
- 使用随机方法来估计被动通信延迟,并确定异常值.
- 该框架旨在检测异常值,而不依赖于实时无线通信质量.
主要成果:
- 通信延迟的异常值被量化,占观察到的延迟的1.33%.
- 拟议的框架成功地自动检测和分类这些异常值.
- 该系统证明了对通信延迟异常值的弹性,减轻了性能恶化.
结论:
- 开发的方法为管理远程操作中的通信延迟异常值提供了强大的解决方案.
- 这有助于在现实世界中提高自动驾驶技术的安全性和可靠性.
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