ReDroSe -资源高效SLAM的可重构无人机设置

Sebastian Rahn, Philipp Gehricke, Can-Leon Petermöller, Eric Neumann, Philipp Schlinge, Leon Rabius, Henning Termühlen, Christopher Sieh, M. Tassemeier, T. Wiemann, Mario Porrmann
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引用次数: 1

摘要

在本文中,我们提出了一个基于嵌入式cpu、fpga和gpu的异构计算系统ReDroSe,该系统集成到现有的无人机平台中,可以直接在无人机上实现基于截断签名距离域(TSDF)的实时SLAM。该系统完全集成到现有的基础设施中,使地面控制能够管理和监控数据采集过程。ReDroSe是根据功耗和计算能力进行评估的。结果表明,所提出的架构允许在无人机上进行以前只能在后处理中进行的计算,同时保持足够低的功耗以匹配无人机的可用飞行时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ReDroSe — Reconfigurable Drone Setup for Resource-Efficient SLAM
In this paper we present ReDroSe, a heterogeneous compute system based on embedded CPUs, FPGAs and GPUs, which is integrated into an existing UAV platform to allow real time SLAM based on a Truncated Signed Distance Field (TSDF) directly on the drone. The system is fully integrated into the existing infrastructure to allow ground control to manage and monitor the data acquisition process. ReDroSe is evaluated in terms of power consumption and computing capabilities. The results show that the proposed architecture allows computations on the UAV that were previously only possible in post-processing while keeping the power consumption low enough to match the available flight time of the UAV.
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