J. Zufferey and D. Floreano, Fly-inspired visual steering of an ultralight indoor aircraft, IEEE Transactions on Robotics, vol.22, issue.1, pp.137-146, 2006.
DOI : 10.1109/TRO.2005.858857

J. Malik and P. Perona, Preattentive texture discrimination with early vision mechanisms, Journal of the Optical Society of America A, vol.7, issue.5, pp.923-932, 1990.
DOI : 10.1364/JOSAA.7.000923

J. Michels, A. Saxena, and A. Ng, High speed obstacle avoidance using monocular vision and reinforcement learning, Proceedings of the 22nd international conference on Machine learning , ICML '05, pp.593-600, 2005.
DOI : 10.1145/1102351.1102426

URL : http://ai.stanford.edu/~asaxena/rccar/ICML_ObstacleAvoidance.pdf

I. Ulrich and I. Nourbakhsh, Appearance-based obstacle detection with monocular color vision, Proceedings of AAAI Conference, pp.866-871, 2000.

J. Walker, S. Garrett, and M. Wilson, Evolving Controllers for Real Robots: A Survey of the Literature, Adaptive Behavior, vol.11, issue.3, pp.179-203, 2003.
DOI : 10.1177/1059712303113003

D. Marocco and D. Floreano, Active vision and feature selection in evolutionary behavioral systems, From Animals to Animats, vol.7, pp.247-255, 2002.

L. Trujillo and G. Olague, Synthesis of interest point detectors through genetic programming, Proceedings of the 8th annual conference on Genetic and evolutionary computation , GECCO '06, pp.887-894, 2006.
DOI : 10.1145/1143997.1144151

O. Pauplin, J. Louchet, E. Lutton, and A. De-la-fortelle, Evolutionary Optimisation for Obstacle Detection and Avoidance in Mobile Robotics, Journal of Advanced Computational Intelligence and Intelligent Informatics, vol.9, issue.6, pp.622-629, 2005.
URL : https://hal.archives-ouvertes.fr/inria-00000495

M. Martin, Evolving visual sonar: Depth from monocular images, Pattern Recognition Letters, vol.27, issue.11, pp.1174-1180, 2006.
DOI : 10.1016/j.patrec.2005.07.015

R. Barate and A. Manzanera, Automatic Design of Vision-Based Obstacle Avoidance Controllers Using Genetic Programming, Proceedings of the 8th International Conference on Artificial Evolution, pp.25-36, 2007.
DOI : 10.1007/978-3-540-79305-2_3

URL : https://hal.archives-ouvertes.fr/hal-01222652

P. Whigham, Grammatically-based genetic programming, Proceedings of the Workshop on Genetic Programming: From Theory to Real-World Applications, pp.33-41, 1995.

K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan, A fast and elitist multiobjective genetic algorithm: NSGA-II, IEEE Transactions on Evolutionary Computation, vol.6, issue.2, pp.182-197, 2002.
DOI : 10.1109/4235.996017

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.17.7771

F. Gomez and R. Miikkulainen, Incremental Evolution of Complex General Behavior, Adaptive Behavior, vol.5, issue.3-4, pp.317-342, 1997.
DOI : 10.1177/105971239700500305

R. Barate and A. Manzanera, Generalization performance of vision based controllers for mobile robots evolved with genetic programming, Proceedings of the 10th annual conference on Genetic and evolutionary computation, GECCO '08, 2008.
DOI : 10.1145/1389095.1389349

URL : https://hal.archives-ouvertes.fr/hal-01222613