2018/09/17 by Taihú Pire, Pire, Taihú, Martín Mujica +5 · 3 citations
Agricultural and Biological Sciences · Earth and Planetary Sciences · Engineering · #3D Surveying and Cultural Heritage #FOS: Computer and information sciences #Food Supply Chain Traceability #Robotics (cs.RO) #Robotics and Sensor-Based Localization #Smart Agriculture and AI
paper · pdf · doi:10.48550/arxiv.1809.06413
openalex publication_date 2018/09/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this paper we present The Rosario Dataset, a collection of sensor data for\nautonomous mobile robotics in agricultural scenes. The dataset is motivated by\nthe lack of realistic sensor readings gathered by a mobile robot in such\nenvironments. It consists of 6 sequences recorded in soybean fields showing\nreal and challenging cases: highly repetitive scenes, reflection and burned\nimages caused by direct sunlight and rough terrain among others. The dataset\nwas conceived in order to provide a benchmark and contribute to the\nagricultural SLAM/odometry and sensor fusion research. It contains synchronized\nreadings of several sensors: wheel odometry, IMU, stereo camera and a GPS-RTK\nsystem. The dataset is publicly available in\nhttp://www.cifasis-conicet.gov.ar/robot/.\n