Complementary Visual Neuronal Systems Model for Collision Sensing

@article{Fu2020ComplementaryVN,
  title={Complementary Visual Neuronal Systems Model for Collision Sensing},
  author={Qinbing Fu and Shigang Yue},
  journal={2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM)},
  year={2020},
  pages={609-615}
}
  • Qinbing FuShigang Yue
  • Published 11 June 2020
  • Computer Science
  • 2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM)
Inspired by insects' visual brains, this paper presents original modelling of a complementary visual neuronal systems model for real-time and robust collision sensing. Two categories of wide-field motion sensitive neurons, i.e., the lobula giant movement detectors (LGMDs) in locusts and the lobula plate tangential cells (LPTCs) in flies, have been studied, intensively. The LGMDs have specific selectivity to approaching objects in depth that threaten collision; whilst the LPTCs are only… 

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