{"id":"CONICETDig_da0ebcf5cb7bb96eaccbfebb44bd29f3","dc:title":"The Rosario Dataset: Multisensor Data for Localization and Mapping in Agricultural Environments","dc:creator":"Kofman, Ernesto Javier","dc:date":"2024","dc:description":["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\/."],"dc:format":["application\/octet-stream","text\/plain","image\/gif"],"dc:language":["eng"],"dc:type":"dataset","dc:rights":["info:eu-repo\/semantics\/openAccess","https:\/\/creativecommons.org\/licenses\/by\/2.5\/ar\/"],"dc:relation":["info:eu-repo\/grantAgreement\/Consejo Nacional de Investigaciones Cient\u00edficas y T\u00e9cnicas\/PUE 0015-2016"],"dc:identifier":"https:\/\/repositoriosdigitales.mincyt.gob.ar\/vufind\/Record\/CONICETDig_da0ebcf5cb7bb96eaccbfebb44bd29f3"}