End-to-end Learning for Autonomous Crop Row-following

Author:

Bakken Marianne,Moore Richard J.D.,From Pål

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference17 articles.

1. Bakken, M., Moore, R., and From, P. (2018). End-to-end learning for autonomous navigation for agricultural robots. ICRA 2018 Workshop on Robotic Vision and Action in Agriculture. URL https://research.qut.edu.au/future-farming/wp-content/uploads/sites/3/2018/06/End-to-end-Learning-for-Autonomous-Navigation-for-Agricultural-Robots.pdf.

2. A vision based row detection system for sugar beet;Bakker;Computers and electronics in agriculture,2008

3. Biber, P., Weiss, U., Dorna, M., and Albert, A. (2012). Navigation system of the autonomous agricultural robot bonirob. In Workshop on Agricultural Robotics: Enabling Safe, Efficient, and Affordable Robots for Food Production (Collocated with IROS 2012), Vilamoura, Portugal.

4. Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., and Fei-Fei, L. (2009). ImageNet: A Large-Scale Hierarchical Image Database. In CVPR09.

5. English, A., Ross, P., Ball, D., Upcrolt, B., and Corke, P. (2015). Learning crop models for vision-based guidance ol agricultural robots. In Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference on, 1158-1163. IEEE.

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