, Best dash cam accidents, pp.2019-2020
Non-linear neuronal responses as an emergent property of afferent networks: a case study of the locust lobula giant movement detector, PLoS Comput Biol, vol.6, issue.3, p.1000701, 2010. ,
Contributions to Primary, Secondary and Integrated Traffic Safety, 2011. ,
Small brains, smart machines: From fly vision to robot vision and back again, Proceedings of the IEEE, vol.102, pp.751-781, 2014. ,
Collision selective LGMDs neuron models research benefits from a vision-based autonomous micro robot, IEEE International Conference on Intelligent Robots and Systems, pp.3996-4002, 2017. ,
Towards computational models of insect motion detectors for robot vision, Towards autonomous robotic systems conference, pp.465-467, 2018. ,
Shaping the collision selectivity in a looming sensitive neuron model with parallel on and off pathways and spike frequency adaptation, Neural Networks, vol.106, pp.127-143, 2018. ,
Bio-inspired collision detector with enhanced selectivity for ground robotic vision system, British Machine Vision Conference, 2016. ,
Simplified bionic solutions: a simple bio-inspired vehicle collision detection system, Bioinspiration & Biomimetics, vol.12, issue.2, 2017. ,
Bio-inspired embedded vision system for autonomous micro-robots: The LGMD case, IEEE Transactions on Cognitive and Developmental Systems, vol.9, issue.3, pp.241-254, 2017. ,
A neural model of the locust visual system for detection of object approaches with real-world scenes, Proceedings of the Fourth IASTED, pp.340-345, 2004. ,
A modified model for the lobula giant movement detector and its FPGA implementation, Computer Vision and Image Understanding, vol.114, pp.1238-1247, 2010. ,
Vehicle detection techniques for collision avoidance systems: A review, IEEE Transactions on Intelligent Transportation Systems, vol.16, issue.5, pp.2318-2338, 2015. ,
Two identified looming detectors in the locust: ubiquitous lateral connections among their inputs contribute to selective responses to looming objects, Scientific Reports, issue.6, p.35525, 2016. ,
Obstacle avoidance with lgmd neuron: Towards a neuromorphic uav implementation, Proceedings -IEEE International Symposium on Circuits and Systems, 2017. ,
Optic flow-based collision-free strategies: From insects to robots, Arthropod Structure & Development, vol.46, issue.5, pp.703-717, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01644523
Computational model of the LGMD neuron for automatic collision detection, IEEE 3rd Portuguese Meeting in Bioengineering, 2013. ,
A bio-inspired visual collision detection mechanism for cars: combining insect inspired neurons to create a robust system, Biosystems, vol.87, issue.2-3, pp.164-71, 2007. ,
Collision detection in complex dynamic scenes using a lgmd based visual neural network with feature enhancement, IEEE Trans. Neural Netw, vol.17, issue.3, pp.705-716, 2006. ,
A bio-inspired visual collision detection mechanism for cars: Optimisation of a model of a locust neuron to a novel environment, Neurocomputing, vol.69, pp.1591-1598, 2006. ,