Exploiting Chlorophyll Fluorescense for building robust low-cost Mowing Area Detectors

Nils Rottmann, Ralf Bruder, Achim Schweikard, Elmar Rückert

Abstract

Detecting cost-effectively and accurately the working area for autonomous lawn mowers is key for widespread automation of garden care. Therefore, we propose an active low-cost sensor approach for detecting fluorescence response. The area to be detected is illuminated by an LED and the chlorophyll fluorescence response is observed by a phototransistor. The signal from the phototransistor is further processed by a transimpedance amplifier, an amplifier and a band pass filter and forwarded to a microprocessor. By choosing only low-cost consumer products for construction, high-volume lowest cost sensors can be built. We demonstrate the feasibility of our low-cost approach by evaluating the sensor mounted on an autonomous lawn mower in a garden environment.

OriginalspracheEnglisch
Titel2020 IEEE SENSORS
Herausgeber (Verlag)IEEE
Erscheinungsdatum25.10.2020
Aufsatznummer9278858
ISBN (Print)978-1-7281-6802-9
ISBN (elektronisch)978-1-7281-6801-2
DOIs
PublikationsstatusVeröffentlicht - 25.10.2020
Veranstaltung2020 IEEE Sensors - Virtual, Rotterdam, Niederlande
Dauer: 25.10.202028.10.2020
Konferenznummer: 165760

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