ROFeb 17, 2022

Spiral Trajectories for Building Inspection with Quadrotors

arXiv:2202.08779v15 citations
Originality Synthesis-oriented
AI Analysis

This addresses the need for cheap and fast building inspections to prevent losses, though it appears incremental as it builds on existing trajectory methods.

The paper tackles the problem of computing smooth trajectories for quadrotors to inspect large buildings, proposing a method based on Fourier series that is efficient and applicable to various building shapes, as shown in simulation comparisons against polynomial trajectories.

Inspection of large building is an important task since it can prevent material and human losses. A cheap and fast way to do the inspections is by sensors mounted on quadrotor vehicles. The challenge here is to compute a trajectory so that the building is completely observed while this same trajectory can be followed by the quadrotor in a smooth way. To address the problem, we propose a method that receives a 2.5D model of the target building and computes a smooth trajectory that can be followed by the quadrotor controller. The computed trajectory is a Fourier series that matches the desired behaviour. Our method has been tested in simulation and we have compared it against polynomial trajectories. Our result show that the method is efficient and can be applied to different building shapes.

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