88390 20200716101506.0 doi 10.1177/0278364919841437 sideral 111540 ART-2019-111540 eng Pire, T. The Rosario dataset: Multisensor data for localization and mapping in agricultural environments 2019 Access copy available to the general public Unrestricted In this paper we present the Rosario dataset, a collection of sensor data for autonomous mobile robotics in agricultural scenes. The dataset is motivated by the lack of realistic sensor readings gathered by a mobile robot in such environments. It consists of six sequences recorded in soybean fields showing real and challenging cases: highly repetitive scenes, reflection, and burned images caused by direct sunlight and rough terrain among others. The dataset was conceived in order to provide a benchmark and contribute to the agricultural simultaneous localization and mapping (SLAM)/odometry and sensor fusion research. It contains synchronized readings of several sensors: wheel odometry, inertial measurement unit (IMU), stereo camera, and a Global Positioning System real-time kinematics (GPS-RTK) system. The dataset is publicly available from http://www.cifasis-conicet.gov.ar/robot/. info:eu-repo/grantAgreement/ES/DGA/T45-17R info:eu-repo/grantAgreement/ES/MINECO/DPI2015-67275 info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 4.703 2019 ROBOTICS 5 / 28 = 0.179 2019 Q1 T1 3.212 2019 Applied Mathematics 2019 Q1 Artificial Intelligence 2019 Q1 Software 2019 Q1 Mechanical Engineering 2019 Q1 Modeling and Simulation 2019 Q1 Electrical and Electronic Engineering 2019 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Mujica, M. (orcid)0000-0003-1368-1151 Civera, J. Universidad de Zaragoza Kofman, E. 5007 520 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Ingen.Sistemas y Automát. 38, 6 (2019), 633 - 641 Int. j. rob. res. International Journal of Robotics Research 0278-3649 345889 http://zaguan.unizar.es/record/88390/files/texto_completo.pdf Postprint 27214 http://zaguan.unizar.es/record/88390/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:88390 articulos driver 2020-07-16-09:15:59 ARTICLE