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

Nils Rottmann; Ralf Bruder; Achim Schweikard; Elmar Rückert

doi:10.1109/SENSORS47125.2020.9278858

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

Nils Rottmann, Ralf Bruder, Achim Schweikard, Elmar Rückert

Institute of Robotics and Cognitive Systems

4 Citations (Scopus)

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.

Original language	English
Title of host publication	2020 IEEE SENSORS
Publisher	IEEE
Publication date	25.10.2020
Article number	9278858
ISBN (Print)	978-1-7281-6802-9
ISBN (Electronic)	978-1-7281-6801-2
DOIs	https://doi.org/10.1109/SENSORS47125.2020.9278858
Publication status	Published - 25.10.2020
Event	2020 IEEE Sensors - Virtual, Rotterdam, Netherlands Duration: 25.10.2020 → 28.10.2020 Conference number: 165760

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10.1109/SENSORS47125.2020.9278858

Cite this

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title = "Exploiting Chlorophyll Fluorescense for building robust low-cost Mowing Area Detectors",

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. ",

author = "Nils Rottmann and Ralf Bruder and Achim Schweikard and Elmar R{\"u}ckert",

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AU - Bruder, Ralf

AU - Schweikard, Achim

AU - Rückert, Elmar

N1 - Conference code: 165760

PY - 2020/10/25

Y1 - 2020/10/25

N2 - 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.

AB - 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.

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M3 - Conference contribution

SN - 978-1-7281-6802-9

T3 - Proceedings of IEEE Sensors

BT - 2020 IEEE SENSORS

PB - IEEE

T2 - 2020 IEEE Sensors

Y2 - 25 October 2020 through 28 October 2020

ER -

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

Abstract

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