000088390 001__ 88390
000088390 005__ 20200716101506.0
000088390 0247_ $$2doi$$a10.1177/0278364919841437
000088390 0248_ $$2sideral$$a111540
000088390 037__ $$aART-2019-111540
000088390 041__ $$aeng
000088390 100__ $$aPire, T.
000088390 245__ $$aThe Rosario dataset: Multisensor data for localization and mapping in agricultural environments
000088390 260__ $$c2019
000088390 5060_ $$aAccess copy available to the general public$$fUnrestricted
000088390 5203_ $$aIn 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/.
000088390 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T45-17R$$9info:eu-repo/grantAgreement/ES/MINECO/DPI2015-67275
000088390 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000088390 590__ $$a4.703$$b2019
000088390 591__ $$aROBOTICS$$b5 / 28 = 0.179$$c2019$$dQ1$$eT1
000088390 592__ $$a3.212$$b2019
000088390 593__ $$aApplied Mathematics$$c2019$$dQ1
000088390 593__ $$aArtificial Intelligence$$c2019$$dQ1
000088390 593__ $$aSoftware$$c2019$$dQ1
000088390 593__ $$aMechanical Engineering$$c2019$$dQ1
000088390 593__ $$aModeling and Simulation$$c2019$$dQ1
000088390 593__ $$aElectrical and Electronic Engineering$$c2019$$dQ1
000088390 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000088390 700__ $$aMujica, M.
000088390 700__ $$0(orcid)0000-0003-1368-1151$$aCivera, J.$$uUniversidad de Zaragoza
000088390 700__ $$aKofman, E.
000088390 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát.
000088390 773__ $$g38, 6 (2019), 633 - 641$$pInt. j. rob. res.$$tInternational Journal of Robotics Research$$x0278-3649
000088390 8564_ $$s345889$$uhttps://zaguan.unizar.es/record/88390/files/texto_completo.pdf$$yPostprint
000088390 8564_ $$s27214$$uhttps://zaguan.unizar.es/record/88390/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000088390 909CO $$ooai:zaguan.unizar.es:88390$$particulos$$pdriver
000088390 951__ $$a2020-07-16-09:15:59
000088390 980__ $$aARTICLE