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Bibliographic Details
Main Authors: Seliunina, Svetlana, Schleich, Daniel, Behnke, Sven
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2511.14393
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author Seliunina, Svetlana
Schleich, Daniel
Behnke, Sven
author_facet Seliunina, Svetlana
Schleich, Daniel
Behnke, Sven
contents In our work, we extend the current state-of-the-art approach for autonomous multi-UAV exploration to consumer-level UAVs, such as the DJI Mini 3 Pro. We propose a pipeline that selects viewpoint pairs from which the depth can be estimated and plans the trajectory that satisfies motion constraints necessary for odometry estimation. For the multi-UAV exploration, we propose a semi-distributed communication scheme that distributes the workload in a balanced manner. We evaluate our model performance in simulation for different numbers of UAVs and prove its ability to safely explore the environment and reconstruct the map even with the hardware limitations of consumer-grade UAVs.
format Preprint
id arxiv_https___arxiv_org_abs_2511_14393
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Perception-aware Exploration for Consumer-grade UAVs
Seliunina, Svetlana
Schleich, Daniel
Behnke, Sven
Robotics
In our work, we extend the current state-of-the-art approach for autonomous multi-UAV exploration to consumer-level UAVs, such as the DJI Mini 3 Pro. We propose a pipeline that selects viewpoint pairs from which the depth can be estimated and plans the trajectory that satisfies motion constraints necessary for odometry estimation. For the multi-UAV exploration, we propose a semi-distributed communication scheme that distributes the workload in a balanced manner. We evaluate our model performance in simulation for different numbers of UAVs and prove its ability to safely explore the environment and reconstruct the map even with the hardware limitations of consumer-grade UAVs.
title Perception-aware Exploration for Consumer-grade UAVs
topic Robotics
url https://arxiv.org/abs/2511.14393