JavaScript is disabled for your browser. Some features of this site may not work without it.

    Listar

    Todo RIUMAComunidades & ColeccionesPor fecha de publicaciónAutoresTítulosMateriasTipo de publicaciónCentrosDepartamentos/InstitutosEditoresEsta colecciónPor fecha de publicaciónAutoresTítulosMateriasTipo de publicaciónCentrosDepartamentos/InstitutosEditores

    Mi cuenta

    AccederRegistro

    Estadísticas

    Ver Estadísticas de uso

    DE INTERÉS

    Datos de investigaciónReglamento de ciencia abierta de la UMAPolítica de RIUMAPolitica de datos de investigación en RIUMAOpen Policy Finder (antes Sherpa-Romeo)Dulcinea
    Preguntas frecuentesManual de usoContacto/Sugerencias
    Ver ítem 
    •   RIUMA Principal
    • Investigación
    • Datos de Investigación
    • Ver ítem
    •   RIUMA Principal
    • Investigación
    • Datos de Investigación
    • Ver ítem

    The UMA-SAR Dataset: Multimodal data collection from a ground vehicle during outdoor disaster response training exercises

    • Autor
      Morales-Rodríguez, JesúsAutoridad Universidad de Málaga; Vázquez-Martín, RicardoAutoridad Universidad de Málaga; Mandow, AnthonyAutoridad Universidad de Málaga; Morilla-Cabello David; García-Cerezo, Alfonso JoséAutoridad Universidad de Málaga
    • Fecha
      2022-04-05
    • Editorial/Editor
      Universidad de Málaga
    • Palabras clave
      Robótica
    • Resumen
      - [The full description of the dataset can be found at: https://www.uma.es/robotics-and-mechatronics/info/124594/sar-datasets/ ] - Collection of multimodal raw data captured from a manned all-terrain vehicle in the course of two realistic outdoor search and rescue (SAR) exercises for actual emergency responders conducted in Málaga (Spain) in 2018 and 2019: the UMA-SAR dataset. The sensor suite, applicable to unmanned ground vehicles (UGVs), consisted of overlapping visible light (RGB) and thermal infrared (TIR) forward-looking monocular cameras, a Velodyne HDL-32 three-dimensional (3D) lidar, as well as an inertial measurement unit (IMU) and two global positioning system (GPS) receivers as ground truth. Our mission was to collect a wide range of data from the SAR domain, including persons, vehicles, debris, and SAR activity on unstructured terrain. In particular, four data sequences were collected following closed-loop routes during the exercises, with a total path length of 5.2 km and a total time of 77 min. In addition, we provide three more sequences of the empty site for comparison purposes (an extra 4.9 km and 46 min). Furthermore, the data is offered both in human-readable format and as rosbag files, and two specific software tools are provided for extracting and adapting this dataset to the users’ preference. The review of previously published disaster robotics repositories indicates that this dataset can contribute to fill a gap regarding visual and thermal datasets and can serve as a research tool for cross-cutting areas such as multispectral image fusion, machine learning for scene understanding, person and object detection, and localization and mapping in unstructured environments.
    • Referenciado por
      Morales J, Vázquez-Martín R, Mandow A, Morilla-Cabello D, García-Cerezo A. The UMA-SAR Dataset: Multimodal data collection from a ground vehicle during outdoor disaster response training exercises. The International Journal of Robotics Research. 2021;40(6-7):835-847. doi:10.1177/02783649211004959
    • URI
      https://hdl.handle.net/10630/23918
    • DOI
      https://dx.doi.org/10.24310/riuma.23918
    • Compartir
      RefworksMendeley
    Mostrar el registro completo del ítem
    Ficheros
    2018-06-01-12-14-47.csv (682bytes)
    2018-06-01-12-44-10.csv (1.164Kb)
    2018-07-25-11-25-10.csv (507bytes)
    2018-07-25-11-39-26.csv (1010bytes)
    2019-06-05-13-55-16.csv (770bytes)
    2019-06-06-10-08-55.csv (1.087Kb)
    2019-06-06-10-35-12.csv (1.245Kb)
    README_dataset.md (5.095Kb)
    rgb_calibrationdata.tar.gz (5.788Mb)
    2019-06-05-13-55-16.bag (7.144Gb)
    2019-06-05-13-55-16.zip (2.980Gb)
    2019-06-06-10-08-55.bag (15.29Gb)
    2019-06-06-10-08-55.zip (6.457Gb)
    2019-06-06-10-35-12.bag (32.28Gb)
    2019-06-06-10-35-12.zip (13.89Gb)
    2018-07-25-11-25-10.bag (4.834Gb)
    2018-07-25-11-25-10.zip (1.984Gb)
    2018-07-25-11-39-26.bag (33.18Gb)
    2018-07-25-11-39-26.zip (13.41Gb)
    2018-06-01-12-14-47.bag (8.936Gb)
    2018-06-01-12-14-47.zip (4.092Gb)
    2018-06-01-12-44-10.bag (21.11Gb)
    2018-06-01-12-44-10.zip (9.882Gb)
    Colecciones
    • Datos de Investigación

    Estadísticas

    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
     

     

    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA