• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Reliability Engineering & System Safety >An efficient phased mission reliability analysis for autonomous vehicles
【24h】

An efficient phased mission reliability analysis for autonomous vehicles

机译：自动驾驶汽车的高效分阶段任务可靠性分析

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Autonomous systems are becoming more commonly used, especially in hazardous situations. Such systems are expected to make their own decisions about future actions when some capabilities degrade due to failures of their subsystems. Such decisions are made without human input, therefore they need to be well-informed in a short time when the situation is analysed and future consequences of the failure are estimated. The future planning of the mission should take account of the likelihood of mission failure. The reliability analysis for autonomous systems can be performed using the methodologies developed for phased mission analysis, where the causes of failure for each phase in the mission can be expressed by fault trees.rnUnmanned autonomous vehicles (UAVs) are of a particular interest in the aeronautical industry, where it is a long term ambition to operate them routinely in civil airspace. Safety is the main requirement for the UAV operation and the calculation of failure probability of each phase and the overall mission is the topic of this paper. When components or subsystems fail or environmental conditions throughout the mission change, these changes can affect the future mission. The new proposed methodology takes into account the available diagnostics data and is used to predict future capabilities of the UAV in real time. Since this methodology is based on the efficient BDD method, the quickly provided advice can be used in making decisions. When failures occur appropriate actions are required in order to preserve safety of the autonomous vehicle. The overall decision making strategy for autonomous vehicles is explained in this paper. Some limitations of the methodology are discussed and further improvements are presented based on experimental results.
机译：自治系统变得越来越普遍，尤其是在危险情况下。当某些功能由于其子系统的故障而降级时，预计此类系统将对未来的动作做出自己的决定。这样的决定是在没有人工干预的情况下做出的，因此，在分析情况并估算故障的未来后果时，需要在短时间内提供充分的信息。特派团的未来计划应考虑到特派团失败的可能性。可以使用为阶段性任务分析而开发的方法来进行自主系统的可靠性分析，其中任务的每个阶段的失败原因都可以通过故障树来表示。无人机在航空领域特别受关注工业，在民用空域常规运行它们是一个长期的目标。安全是无人机运行的主要要求，计算各阶段和整个任务的失败概率是本文的主题。当组件或子系统出现故障或整个任务的环境条件发生变化时，这些变化会影响未来的任务。新提出的方法论考虑了可用的诊断数据，并用于实时预测无人机的未来功能。由于此方法基于高效的BDD方法，因此可以将快速提供的建议用于决策。当发生故障时，需要采取适当的措施以保持自动驾驶汽车的安全。本文介绍了自动驾驶汽车的总体决策策略。讨论了该方法的一些局限性，并根据实验结果提出了进一步的改进。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号