Publicación
Artículo científico (article).
Toward autonomous mobile robot navigation in early-stage crop growth
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/287296
Digital.CSIC. Repositorio Institucional del CSIC
- Emmi, Luis Alfredo
- Herrera-Diaz, Jesus
- González-de-Santos, Pablo
19th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2022), 14 - 16 July, 2022. Lisbon - Portugal., This paper presents a general procedure for enabling autonomous row following in crops during early-stage
growth, without relying on absolute localization systems. A model based on deep learning techniques (object
detection for wide-row crops and segmentation for narrow-row crops) was applied to accurately detect both
types of crops. Tests were performed using a manually operated mobile platform equipped with an RGB and
a time-of-flight (ToF) cameras. Data were acquired during different time periods and weather conditions, in
maize and wheat fields. The results showed the success on crop detection and enables the future development
of a fully autonomous navigation system in cultivated fields during early stage of crop growth., This article is part of a the WeLASER project that has received funding from the European Union’s Horizon
2020 research and innovation programme under grant agreement No 101000256, Peer reviewed
Proyecto:
EC/H2020/101000256
DOI: http://hdl.handle.net/10261/287296
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/287296
HANDLE: http://hdl.handle.net/10261/287296
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/287296
Ver en: http://hdl.handle.net/10261/287296
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/287296
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