Classifying Agricultural Terrain for Machinery Traversability Purposes

Author:

Yandun Francisco J.,Gregorio Eduard,Zúñiga Marcos,Escolá Alexandre,Rosell-Polo Joan R.,Auat Cheein Fernando A.

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference27 articles.

1. Discriminating crop, weeds and soil surface with a terrestrial LIDAR sensor;Andújar;Sensors (Basel, Switzerland),2013

2. Computational Approaches for Improving the Performance of Path Tracking Controllers for Mobile Robots;Auat Cheein;Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference,2015

3. Broten, G., MacKay, D., and Collier, J. (2012). Probabilistic obstacle detection using 2 1/2 D terrain maps. In Proceedings of the 2012 9th Conference on Computer and Robot Vision, CRV 2012, 17–23. doi:10.1109/CRV. 2012.10.

4. Realtime tracking of non-rigid objects using mean shift;Comaniciu;IEEE Conference on Computer Vision and Pattern Recognition,2000

5. Demerjian, C. (2013). XBox Ones Kinect sensor overcomes problems with intelligence. URL http://semiaccurate.com/2013/10/16/xbox-ones-kinect-sensor-overcomes-problems-intelligence/.

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