• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Unmanned Systems Technology IX; Proceedings of SPIE-The International Society for Optical Engineering; vol.6561 >Real time prediction and diagnostics for unmanned ground vehicle (UGV) mobility
【24h】

Real time prediction and diagnostics for unmanned ground vehicle (UGV) mobility

机译：无人机地面机动性的实时预测和诊断

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

This paper describes a novel capability for predicting and diagnosing current unmanned ground vehicle (UGV) system health and status. Prognostication is the results of a multi-step process consisting of successful novelty detection, fault detection, fault diagnosis, and failure prognosis. UGV mobility prediction requires the fusion of both external and internal situational awareness, resulting in a course of action that can be executed by the UGV and confirmed by its own sensors. Our algorithms are analytical and enable both prediction and diagnostics to be performed in real time and within the limited processor speed and memory constraints of the UGV. This paper summarizes these algorithms.
机译：本文介绍了一种用于预测和诊断当前无人地面车辆（UGV）系统健康状况的新功能。预后是一个多步骤过程的结果，包括成功的新颖性检测，故障检测，故障诊断和故障预后。 UGV的移动性预测需要将内部和外部情境意识融合在一起，从而得出可以由UGV执行并由其自己的传感器确认的行动过程。我们的算法具有分析能力，可以在有限的处理器速度和UGV的内存限制下实时执行预测和诊断。本文总结了这些算法。

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