M. V. Srinivasan, Honeybees as a Model for the Study of Visually Guided Flight, Navigation, and Biologically Inspired Robotics, Physiological Reviews, vol.199, issue.2, pp.413-460, 2011.
DOI : 10.1109/TRO.2005.858857

J. J. Gibson and J. Loomis, The perception of the visual world Optical velocity patterns, velocity-sensitive neurons, and space perception: A hypothesis, J. Philos. Perception, vol.48, issue.3, pp.63-80, 1951.

N. Franceschini, F. Ruffier, J. Serres, and S. Viollet, Optic Flow Based Visual Guidance: From Flying Insects to Miniature Aerial Vehicles, 2009.
DOI : 10.5772/6491

J. Serres and F. Ruffier, Optic Flow-Based Robotics
DOI : 10.1364/OE.23.005614

R. Moeckel and S. C. Liu, Motion Detection Chips for Robotic Platforms, Flying Insects and Robots, pp.101-114, 2009.
DOI : 10.1007/978-3-540-89393-6_8

F. Expert, S. Viollet, and F. Ruffier, A mouse sensor and a 2-pixel motion sensor exposed to continuous illuminance changes, 2011 IEEE SENSORS Proceedings, pp.28-31, 2011.
DOI : 10.1109/ICSENS.2011.6127002

URL : https://hal.archives-ouvertes.fr/hal-00713577

F. L. Roubieu, F. Expert, G. Sabiron, and F. Ruffier, Two-Directional 1-g Visual Motion Sensor Inspired by the Fly's Eye, IEEE Sensors Journal, vol.13, issue.3, pp.1025-1035, 2013.
DOI : 10.1109/JSEN.2012.2230622

D. Floreano, R. Pericet-camara, S. Viollet, F. Ruffier, A. Brückner et al., Miniature curved artificial compound eyes, Proc. Natl. Acad. Sci. USA 2013, pp.9267-9272
DOI : 10.1126/science.1182228

URL : https://hal.archives-ouvertes.fr/hal-00835031

Y. M. Song, Y. Xie, V. Malyarchuk, J. Xiao, I. Jung et al., Digital cameras with designs inspired by the arthropod eye, Nature, vol.67, issue.7447, pp.95-99, 2013.
DOI : 10.1007/BF00298120

P. E. Duhamel, C. O. Perez-arancibia, G. L. Barrows, and R. J. Wood, Biologically Inspired Optical-Flow Sensing for Altitude Control of Flapping-Wing Microrobots, IEEE/ASME Transactions on Mechatronics, vol.18, issue.2, pp.556-568, 2013.
DOI : 10.1109/TMECH.2012.2225635

S. Mafrica, S. Godiot, M. Menouni, M. Boyron, F. Expert et al., A bio-inspired analog silicon retina with Michaelis-Menten auto-adaptive pixels sensitive to small and large changes in light, Optics Express, vol.23, issue.5, p.5614, 2015.
DOI : 10.1364/OE.23.005614

URL : https://hal.archives-ouvertes.fr/hal-01099946

P. E. Duhamel, N. O. Pérez-arancibia, G. L. Barrows, and R. J. Wood, Altitude feedback control of a flapping-wing microrobot using an on-board biologically inspired optical flow sensor, 2012 IEEE International Conference on Robotics and Automation, pp.14-18, 2012.
DOI : 10.1109/ICRA.2012.6225313

A. Kushleyev, D. Mellinger, C. Powers, and V. Kumar, Towards a swarm of agile micro quadrotors, Autonomous Robots, vol.52, issue.5, pp.287-300, 2013.
DOI : 10.1109/TAC.2007.895948

K. Y. Ma, P. Chirarattananon, S. B. Fuller, and R. J. Wood, Controlled Flight of a Biologically Inspired, Insect-Scale Robot, Science, vol.41, issue.24, pp.603-607, 2013.
DOI : 10.1109/9.486654

O. Dunkley, J. Engel, J. Sturm, and D. Cremers, Visual-inertial navigation for a camera-equipped 25g nano-quadrotor, Proceedings of the IROS2014 Aerial Open Source Robotics Workshop, pp.14-18, 2014.

R. J. Moore, K. Dantu, G. L. Barrows, and R. Nagpal, Autonomous MAV guidance with a lightweight omnidirectional vision sensor, 2014 IEEE International Conference on Robotics and Automation (ICRA), pp.3856-3861, 2014.
DOI : 10.1109/ICRA.2014.6907418

D. Floreano and R. J. Wood, Science, technology and the future of small autonomous drones, Nature, vol.107, issue.7553, pp.460-466, 2015.
DOI : 10.1016/j.robot.2009.02.001

C. Liu, S. D. Prior, W. L. Teacy, and M. Warner, Computationally efficient visual???inertial sensor fusion for Global Positioning System???denied navigation on a small quadrotor, Advances in Mechanical Engineering, vol.7, issue.3, pp.10-1177, 2016.
DOI : 10.1177/0278364910388963

D. Honegger, L. Meier, P. Tanskanen, and M. Pollefeys, An open source and open hardware embedded metric optical flow CMOS camera for indoor and outdoor applications, 2013 IEEE International Conference on Robotics and Automation, pp.6-10, 2013.
DOI : 10.1109/ICRA.2013.6630805

C. Brandli, R. Berner, M. Yang, S. C. Liu, and T. Delbruck, A 240 ?? 180 130 dB 3 ??s Latency Global Shutter Spatiotemporal Vision Sensor, IEEE Journal of Solid-State Circuits, vol.49, issue.10, pp.2333-2341, 2014.
DOI : 10.1109/JSSC.2014.2342715

B. Rueckauer and T. Delbruck, Evaluation of Event-Based Algorithms for Optical Flow with Ground-Truth from Inertial Measurement Sensor, Frontiers in Neuroscience, vol.106, issue.137, p.176, 2016.
DOI : 10.1007/s11263-013-0644-x

A. Briod, J. C. Zufferey, and D. Floreano, A method for ego-motion estimation in micro-hovering platforms flying in very cluttered environments, Autonomous Robots, vol.22, issue.1, pp.789-803, 2016.
DOI : 10.1109/TRO.2005.858857

K. Mcguire, G. De-croon, C. De-wagter, K. Tuyls, and H. Kappen, Efficient Optical Flow and Stereo Vision for Velocity Estimation and Obstacle Avoidance on an Autonomous Pocket Drone, IEEE Robotics and Automation Letters, vol.2, issue.2, 2016.
DOI : 10.1109/LRA.2017.2658940

D. Falanga, E. Mueggler, M. Faessler, and D. Scaramuzza, Aggressive Quadrotor Flight through Narrow Gaps with Onboard Sensing and Computing, 2016.
DOI : 10.1109/icra.2017.7989679

URL : http://rpg.ifi.uzh.ch/docs/ICRA17_Falanga.pdf

S. Mafrica, A. Servel, and F. Ruffier, Minimalistic optic flow sensors applied to indoor and outdoor visual guidance and odometry on a car-like robot, Bioinspiration & Biomimetics, vol.11, issue.6, p.66007, 2016.
DOI : 10.1088/1748-3190/11/6/066007

URL : https://hal.archives-ouvertes.fr/hal-01454792

R. Normann, A.; Perlman, I. The effects of background illumination on the photoresponses of red and green cones, J. Physiol, pp.286-491, 1979.

S. Viollet, S. Godiot, R. Leitel, W. Buss, P. Breugnon et al., Hardware Architecture and Cutting-Edge Assembly Process of a Tiny Curved Compound Eye, Sensors, vol.19, issue.11, pp.21702-21721, 2014.
DOI : 10.1109/JSSC.1984.1052249

URL : https://hal.archives-ouvertes.fr/hal-01446798

G. Sabiron, P. Chavent, T. Raharijaona, P. Fabiani, and F. Ruffier, Low-speed optic-flow sensor onboard an unmanned helicopter flying outside over fields, 2013 IEEE International Conference on Robotics and Automation, pp.6-10, 2013.
DOI : 10.1109/ICRA.2013.6630806

URL : https://hal.archives-ouvertes.fr/hal-00820264

F. Expert, F. L. Roubieu, and F. Ruffier, Interpolation based “time of travel” scheme in a Visual Motion Sensor using a small 2D retina, 2012 IEEE Sensors, pp.28-31, 2012.
DOI : 10.1109/ICSENS.2012.6411364

F. L. Roubieu, J. R. Serres, F. Colonnier, N. Franceschini, S. Viollet et al., A biomimetic vision-based hovercraft accounts for bees??? complex behaviour in various corridors, Bioinspiration & Biomimetics, vol.9, issue.3, p.36003
DOI : 10.1088/1748-3182/9/3/036003

URL : https://hal.archives-ouvertes.fr/hal-01446797

F. L. Roubieu, J. Serres, N. Franceschini, F. Ruffier, and S. Viollet, A fully-autonomous hovercraft inspired by bees: Wall following and speed control in straight and tapered corridors, 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp.11-14, 2012.
DOI : 10.1109/ROBIO.2012.6491150

URL : https://hal.archives-ouvertes.fr/hal-00743129

F. Expert and F. Ruffier, Flying over uneven moving terrain based on optic-flow cues without any need for reference frames or accelerometers, Bioinspiration & Biomimetics, vol.10, issue.2, p.26003, 2015.
DOI : 10.1088/1748-3182/10/2/026003

URL : https://hal.archives-ouvertes.fr/hal-01771748

J. C. 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. C. Zufferey, A. Klaptocz, A. Beyeler, J. D. Nicoud, and D. Floreano, A 10-gram vision-based flying robot, Advanced Robotics, vol.21, issue.14, pp.1671-1684, 2007.
DOI : 10.1163/156855307782227417

URL : https://infoscience.epfl.ch/record/109430/files/RSJ-AR07_mc2_holodeck.pdf

A. Beyeler, J. C. Zufferey, and D. Floreano, Vision-based control of near-obstacle flight, Autonomous Robots, vol.21, issue.14, pp.201-219, 2009.
DOI : 10.1201/9781439808115

M. F. Land, VISUAL ACUITY IN INSECTS, Annual Review of Entomology, vol.42, issue.1, pp.147-177, 1997.
DOI : 10.1146/annurev.ento.42.1.147

L. Michaelis and M. L. Menten, Die kinetik der invertinwirkung, Biochem. z, vol.49, p.352, 1913.

N. Franceschini and A. Riehle, Le Nestour, A. Directionally Selective Motion Detection by Insect Neurons, Facets of Vision, 1989.

B. Hassenstein and W. Reichardt, Systemtheoretische analyse der zeit-, reihenfolgen-und vorzeichenauswertung bei der bewegungsperzeption des rüsselkäfers chlorophanus, Z. Naturforsch. B, vol.11, pp.513-524, 1956.
DOI : 10.1515/znb-1956-9-1004

J. S. Albus and T. H. Hong, Motion, depth, and image flow, Proceedings., IEEE International Conference on Robotics and Automation, pp.13-18, 1990.
DOI : 10.1109/ROBOT.1990.126153

A. Manecy, N. Marchand, F. Ruffier, and S. Viollet, X4-MaG: A Low-Cost Open-Source Micro-Quadrotor and its Linux-Based Controller, International Journal of Micro Air Vehicles, vol.11, issue.66, pp.89-110, 2015.
DOI : 10.1080/00401706.1973.10489010

URL : https://hal.archives-ouvertes.fr/hal-01099975