INVESTIGADORES
SAD Gonzalo Daniel
artículos
Título:
Model based crop row detection
Autor/es:
LUCAS DANIEL TERISSI; GONZALO DANIEL SAD
Revista:
EXPERT SYSTEMS WITH APPLICATIONS
Editorial:
PERGAMON-ELSEVIER SCIENCE LTD
Referencias:
Lugar: Amsterdam; Año: 2019
ISSN:
0957-4174
Resumen:
This work describes a method of automatic detection of crop rows for the navigation assistance of autonomous vehicles in cultivated fields. The detection of the crop is done through images captured with a video camera mounted on the vehicle. The method is based on the use of a 3D model of the crop rows. The proposed system is evaluated in real conditions, using videos captured with a vehicle through the cultivated area. Preliminary results are satisfactory and show that the proposed method is suitable to be used in real time.
