A New Approach to Visual-Based Sensory System for Navigation into Orange Groves

@inproceedings{TorresSospedra2011ANA,
  title={A New Approach to Visual-Based Sensory System for Navigation into Orange Groves},
  author={Joaqu{\'i}n Torres-Sospedra and Patricio Nebot},
  booktitle={Sensors},
  year={2011}
}
One of the most important parts of an autonomous robot is to establish the path by which it should navigate in order to successfully achieve its goals. In the case of agricultural robotics, a procedure that determines this desired path can be useful. In this paper, a new virtual sensor is introduced in order to classify the elements of an orange grove. This proposed sensor will be based on a color CCD camera with auto iris lens which is in charge of doing the captures of the real environment… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 22 references

Neural Network Based Terrain Classification Using Wavelet Features

Journal of Intelligent and Robotic Systems • 2010
View 1 Excerpt

Long-Term learning using multiple models for outdoor autonomous robot navigation

2007 IEEE/RSJ International Conference on Intelligent Robots and Systems • 2007
View 1 Excerpt

New experiments on ensembles of multilayer feedforward for classification problems

Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005. • 2005
View 2 Excerpts

Particle filter based outdoor robot localization using natural features extracted from laser scanners

IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004 • 2004
View 2 Excerpts

Boosting with Averaged Weight Vectors

Multiple Classifier Systems • 2003
View 2 Excerpts

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