Alberto Castellini
Intcatch aquatic drone sensor dataset
  • Description: This dataset contains sensor traces (multivariate time series) of six data acquisition campaigns performed by autonomous aquatic drones involved in water monitoring. A total of 5.6 hours of navigation are available, with data coming from both lakes and rivers, and from different locations in Italy and Spain. The monitored variables concern both the internal state of the drone (e.g., battery voltage, GPS position and signals to propellers) and the state of the water (e.g., temperature, dissolved oxygen and electrical conductivity). Data were collected in the context of the EU-funded Horizon 2020 project INTCATCH (http://www.intcatch.eu) which aims to develop a new paradigm in the monitoring of river and lake water quality. Both autonomous and manual drive is used in different parts of the navigation.

    intcatchSensorDataset_header
  • Data:
    ESP2
    		 ESP2: Campaign performed in River Ter, Torello, Barcelona, Spain. Date: 2017-03-31, duration 47 minutes, 2814 samples, 11 variables (download)
    ESP5
    		 ESP5: Campaign performed in River Ter, Manlleu, Barcelona,Spain. Date: 2017-03-31, duration 60 minutes, 3601 samples, 11 variables (download)
    ESP4
    		 ESP4: Campaign performed in Pantà de Sau, Sau reservoir, Barcelona, Spain. Date: 2017-03-30, duration 39 minutes, 2374 samples, 11 variables (download)
    GARDA3
    		 GARDA3: Campaign performed in Lake Garda, Verona, Italy. Date: 2017-05-09, duration 40 minutes, 2451 samples, 11 variables (download)
    ITA1
    		 ITA1: Campaign performed in Atlantide fishing pond, Verona, Italy. Date: 2017-04-20, duration 121 minutes, 7243 samples, 11 variables (download)
    ITA6
    		 ITA6: Campaign performed in Atlantide fishing pond, Verona, Italy. Date: 2017-03-07, duration 28 minutes, 1704 samples, 11 variables (download)
    ALL
    		 Download all dataset
  • Contributors: Alberto Castellini, Domenico Bloisi, Jason Blum, Francesco Masillo, Alessandro Farinelli.
  • References:
    A. Castellini, D. Bloisi, J. Blum, F. Masillo, A. Farinelli, Multivariate Sensor Signals Collected by Aquatic Drones Involved in Water Monitoring: a Complete Dataset, Data in Brief, Submitted.

    A. Castellini, M. Bicego, F. Masillo, M. Zuccotto, A. Farinelli. Time series segmentation for state-model generation of autonomous aquatic drones: A systematic framework. Engineering Applications of Artificial Intelligence, Elsevier, 90:103499 2020. DOI: 10.1016/j.engappai.2020.103499