arXiv:2605.11296cs.ROcs.SY2026-05中稿 · RSS 2026

用高速旋转降低无人机可见度,设计更难被发现的隐形飞行器。

Computational Design of a Low-Visibility UAV Using a Human-Aligned Perceptual Metric

论文配图:Computational Design of a Low-Visibility UAV Using a Human-Aligned Perceptual Metric
图 1 · 摘自论文原文
  • 通过两阶段自动化流程优化电池、电机等部件布局
  • 相比传统四旋翼,视觉感知度显著下降(以LPIPS衡量)
  • 兼顾飞行稳定性,适合隐蔽任务场景

我们提出Phantom Twist,一种单螺旋桨无人机,利用高速旋转和运动模糊实现低可见性。开发了两阶段自动化设计流程,优化电池、控制电路板、电机-螺旋桨组件及配重的布局。该流程在严格满足飞行稳定所需的惯性和气动约束条件下,最小化人眼感知的可见度(以LPIPS为指标)。通过多款原型机的制造与飞行测试验证,结果表明该方法可生成稳定可控的设计,且优化后的无人机相比传统四旋翼具有显著更低的视觉可察觉性。

原文摘要 · Abstract (English)

We introduce Phantom Twist, a type of single-propeller UAV designed to achieve low visibility through high-speed spinning and the exploitation of motion blur. We develop a two-stage automated design pipeline that optimizes the placement of functional components including batteries, control PCB, motor-propeller assembly, and counterweights. The pipeline minimizes visibility as measured by a human-aligned perceptual metric (LPIPS) while strictly satisfying inertial and aerodynamic constraints required for stable flight. We validate this approach through fabrication and flight testing of multiple prototypes. These tests confirm that our pipeline produces stable, controllable designs and that the optimized UAV exhibits significantly reduced visual perceptibility compared to conventional quadcopters.

无人机设计视觉隐匿感知度优化

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