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Anemoi: A Low-cost Sensorless Indoor Drone System for Automatic Mapping of 3D Airflow Fields

Published: 02 October 2023 Publication History

Abstract

Mapping 3D airflow fields is important for many HVAC, industrial, medical, and home applications. However, current approaches are expensive and time-consuming. We present Anemoi, a sub-$100 drone-based system for autonomously mapping 3D airflow fields in indoor environments. Anemoi leverages the effects of airflow on motor control signals to estimate the magnitude and direction of wind at any given point in space. We introduce an exploration algorithm for selecting optimal waypoints that minimize overall airflow estimation uncertainty. We demonstrate through microbenchmarks and real deployments that Anemoi is able to estimate wind speed and direction with errors up to 0.41 m/s and 25.1° lower than the existing state of the art and map 3D airflow fields with an average RMS error of 0.73 m/s.

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  • (2024)Foes or Friends: Embracing Ground Effect for Edge Detection on Lightweight DronesProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3690699(1377-1392)Online publication date: 4-Dec-2024

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        cover image ACM Conferences
        ACM MobiCom '23: Proceedings of the 29th Annual International Conference on Mobile Computing and Networking
        October 2023
        1605 pages
        ISBN:9781450399906
        DOI:10.1145/3570361
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        Published: 02 October 2023

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        Author Tags

        1. sensor
        2. sensorless
        3. drone
        4. micro aerial vehicles
        5. mobile sensing
        6. environmental sensing
        7. path planning

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        • (2024)Foes or Friends: Embracing Ground Effect for Edge Detection on Lightweight DronesProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3690699(1377-1392)Online publication date: 4-Dec-2024

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