ReDroSe - Reconfigurable Drone Setup for Resource-Efficient SLAM

被引：1

作者：

Rahn, Sebastian ^{[1
]}

Gehricke, Philipp ^{[1
]}

Petermoeller, Can-Leon ^{[1
]}

Neumann, Eric ^{[1
]}

Schlinge, Philipp ^{[1
]}

Rabius, Leon ^{[1
]}

Termuehlen, Henning ^{[1
]}

Sieh, Christopher ^{[1
]}

Tassemeier, Marco ^{[1
]}

Wiemann, Thomas ^{[1
]}

Porrmann, Mario ^{[1
]}

机构：

[1] Osnabruck Univ, Osnabruck, Germany

来源：

PROCEEDINGS OF SYSTEM ENGINEERING FOR CONSTRAINED EMBEDDED SYSTEMS, DRONESE AND RAPIDO 2023 | 2023年

关键词：

ROS; Field Programmable Gate Array; GPU; Heterogeneous Computing; Hardware Acceleration; UAV; Drone;

D O I：

10.1145/3579170.3579266

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页码：20 / 30

页数：11

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