Omnidirectional Solid-State mmWave Radar Perception for UAV Power Line Collision Avoidance

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Abstract

Detecting and estimating distances to power lines is a challenge for both human UAV pilots and autonomous systems, which increases the risk of unintended collisions. We present a mmWave radar-based perception system that provides spherical sensing coverage around a small UAV for robust power line detection and avoidance. The system integrates multiple compact solid-state mmWave radar modules to synthesize an omnidirectional field of view while remaining lightweight. We characterize the sensing behavior of this omnidirectional radar arrangement in power line environments and develop a robust detection-and-avoidance algorithm tailored to that behavior. Field experiments on real power lines demonstrate reliable detection at ranges up to 10 m, successful avoidance maneuvers at flight speeds upwards of 10 m/s, and detection of wires as thin as 1.2 mm in diameter. These results indicate the approach's suitability as an additional safety layer for both autonomous and manual UAV flight.
Original languageEnglish
Title of host publicationIEEE International Conference on Robotics and Automation (ICRA) 2026
Publication statusAccepted/In press - 2026

Funding

This work was supported by Innovation Fund Denmark’s Innoexplorer programme under grant agreement AIR-Ops, the Villum Foundation’s Spin-outs Denmark programme under grant agreement OnGrid, and the Carlsberg Foundation under grant agreement AIR-REPAIR.

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