The increasing interest about the environment and the conditions for a safe and healthy life require continuous monitoring of physical and chemical parameters in the urban areas as well as in specifically dangerous surroundings (proximity of plants and hazard sites). Aside from the important consideration about risk and protection of the monitoring crew, the costs of extensive, specialist operators have also to be taken into account. In such a frame, autonomous vehicles could conveniently carry on the repetitive measurements with a significant reduction in risk and costs. Looking specifically at the quality of the air, both terrestrial and aerial platforms could be used; yet the best solution would be their combined use. This research proposes indeed a monitoring system composed by wheeled rover, obviously extendable to more vehicles. These platforms map the state and the evolution of the pollution by means of a set of sensors (measuring LPE, CO, CO2, CH4, H2, NH4) purposely developed. A special focus is devoted to the autonomous guidance and navigation system, including inertial measurement unit, GPS and stereo vision that enables the operations.

A swarm of wheeled and aerial robots for environmental monitoring / Carpentiero, Marco; Gugliermetti, Luca; Sabatini, Marco; Palmerini, Giovanni Battista. - ELETTRONICO. - (2017), pp. 1-6. (Intervento presentato al convegno 14th IEEE International Conference on Networking Sensing and Control, ICNSC 2017 tenutosi a Falerna, Italy nel 15/05/2017 - 18/05/2017) [10.1109/ICNSC.2017.8000073].

A swarm of wheeled and aerial robots for environmental monitoring

CARPENTIERO, MARCO;GUGLIERMETTI, LUCA;SABATINI, MARCO;PALMERINI, Giovanni Battista
2017

Abstract

The increasing interest about the environment and the conditions for a safe and healthy life require continuous monitoring of physical and chemical parameters in the urban areas as well as in specifically dangerous surroundings (proximity of plants and hazard sites). Aside from the important consideration about risk and protection of the monitoring crew, the costs of extensive, specialist operators have also to be taken into account. In such a frame, autonomous vehicles could conveniently carry on the repetitive measurements with a significant reduction in risk and costs. Looking specifically at the quality of the air, both terrestrial and aerial platforms could be used; yet the best solution would be their combined use. This research proposes indeed a monitoring system composed by wheeled rover, obviously extendable to more vehicles. These platforms map the state and the evolution of the pollution by means of a set of sensors (measuring LPE, CO, CO2, CH4, H2, NH4) purposely developed. A special focus is devoted to the autonomous guidance and navigation system, including inertial measurement unit, GPS and stereo vision that enables the operations.
2017
14th IEEE International Conference on Networking Sensing and Control, ICNSC 2017
autonomous rovers; swarm of robots; air quality; small sensors; computer vision; image analysis; robotics; stereoscopic vision
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
A swarm of wheeled and aerial robots for environmental monitoring / Carpentiero, Marco; Gugliermetti, Luca; Sabatini, Marco; Palmerini, Giovanni Battista. - ELETTRONICO. - (2017), pp. 1-6. (Intervento presentato al convegno 14th IEEE International Conference on Networking Sensing and Control, ICNSC 2017 tenutosi a Falerna, Italy nel 15/05/2017 - 18/05/2017) [10.1109/ICNSC.2017.8000073].
File allegati a questo prodotto
File Dimensione Formato  
Carpentiero_A-swarm_2017.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 978.17 kB
Formato Adobe PDF
978.17 kB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/965582
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 16
  • ???jsp.display-item.citation.isi??? 10
social impact