35 citations · 64 across the 4 of their papers we have counts for
4 papers
The Rosario Dataset v2: Multimodal Dataset for Agricultural Robotics
Nicolas Soncini, Javier Cremona, Erica Vidal +3
We present a multi-modal dataset collected in a soybean crop field, comprising over two hours of recorded data from sensors such as stereo infrared camera, color camera, accelerome…
GNSS-stereo-inertial SLAM for arable farming
Javier Cremona, Javier Civera, Ernesto Kofman +1
The accelerating pace in the automation of agricultural tasks demands highly accurate and robust localization systems for field robots. Simultaneous Localization and Mapping (SLAM)…
Experimental Evaluation of Visual-Inertial Odometry Systems for Arable Farming
Javier Cremona, Román Comelli, Taihú Pire
The farming industry constantly seeks the automation of different processes involved in agricultural production, such as sowing, harvesting and weed control. The use of mobile auto…
WGANVO: Monocular Visual Odometry based on Generative Adversarial Networks
Javier Cremona, Lucas Uzal, Taihú Pire
In this work we present WGANVO, a Deep Learning based monocular Visual Odometry method. In particular, a neural network is trained to regress a pose estimate from an image pair. Th…