arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1609.04794cs.RO
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拒绝GPS环境下UGV注册的语义

Semantics for UGV Registration in GPS-denied Environments

Virginia Tech(弗吉尼亚理工大学);U.S. Army Research Laboratory(美国陆军研究实验室)

Gordon Christie, Garrett Warnell, Kevin Kochersberger

摘要:

在全球地图中的定位是许多自主机器人任务成功的关键。这对于在未知和恶劣环境中的多机器人操作尤其具有挑战性。在这里,我们关心的是提供一个小型无人地面车辆(UGV)的能力,以本地化本身在2.5D的航拍地图从图像捕获的低空飞行的无人机(UAV)。我们考虑的情况下,全球定位系统是不可用的,基于外观的场景变化可能发生在无人机的飞行和UGV的任务开始之间。我们提出了一个无GPS的解决方案,这个本地化问题,是强大的外观变化,利用高层次的,语义表示的图像和深度数据。使用在城市测试现场收集的数据,我们经验证明,我们的技术产生的结果在五米的GPS为基础的方法。

英文摘要:

Localization in a global map is critical to success in many autonomous robot missions. This is particularly challenging for multi-robot operations in unknown and adverse environments. Here, we are concerned with providing a small unmanned ground vehicle (UGV) the ability to localize itself within a 2.5D aerial map generated from imagery captured by a low-flying unmanned aerial vehicle (UAV). We consider the scenario where GPS is unavailable and appearance-based scene changes may have occurred between the UAV's flight and the start of the UGV's mission. We present a GPS-free solution to this localization problem that is robust to appearance shifts by exploiting high-level, semantic representations of image and depth data. Using data gathered at an urban test site, we empirically demonstrate that our technique yields results within five meters of a GPS-based approach.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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