Autonomous long-range navigation in GNSS-denied environment with low-cost UAV platform

Autonomous long-range navigation in GNSS-denied environment with low-cost UAV platform
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利用低成本无人机平台在 GNSS 拒绝环境中进行自主远程导航

DOI:
10.1109/syscon.2018.8369592
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发表时间:
2018
期刊:
2018 Annual IEEE International Systems Conference (SysCon)
影响因子:
--
通讯作者:
E. H. Shiguemori
E. H. Shiguemori
中科院分区:
--
文献类型:
--
作者:
A. R. Kuroswiski;N.M.F. Oliveira;E. H. Shiguemori

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在许多情况下,特别是在 GNSS 信号不可靠的情况下,都需要无人机能够在 GNSS 拒绝环境中导航。在这项工作中,提出了一种基于低成本无人机平台的解决方案,该解决方案使用地标识别算法来补偿惯性传感器误差累积,旨在独立于 GNSS 信息执行远程导航。实时仿真结果验证了无人机控制与计算机视觉融合的有效性,成功完成了20.7公里长、400米高的导航,系统能够对整个航线进行坐标估计,平均误差低于6米。
The capability of an Unmanned Aerial Vehicle to navigate in GNSS-denied environments is desired in many situations, especially in situation in which the GNSS signal is not trustable. In this work is presented a solution based on a low-cost UAV platform, that uses a Landmark Recognition algorithm to compensate the inertial sensors errors cumulation, aiming to perform a long-range navigation, independently of GNSS information. The results in a real-time simulation demonstrated the effectiveness of the integration between the UAV control and the computer vision, performing a successful navigation of 20.7 km long at 400 meters high, where the system has been able to estimate the coordinates during the whole route, with an average error lower than 6 meters.
DOI: 10.1007/978-1-4842-5860-6_8
发表时间: 2020
期刊: Rust for the IoT
影响因子: --
作者:
Joseph Faisal Nusairat
通讯作者: Joseph Faisal Nusairat