Corpus ID: 23294708

Collision Selective Visual Neural Network Inspired by LGMD2 Neurons in Juvenile Locusts

@article{Fu2018CollisionSV,
  title={Collision Selective Visual Neural Network Inspired by LGMD2 Neurons in Juvenile Locusts},
  author={Qinbing Fu and Cheng Hu and Shigang Yue},
  journal={ArXiv},
  year={2018},
  volume={abs/1801.06452}
}
For autonomous robots in dynamic environments mixed with human, it is vital to detect impending collision quickly and robustly. The biological visual systems evolved over millions of years may provide us efficient solutions for collision detection in complex environments. In the cockpit of locusts, two Lobula Giant Movement Detectors, i.e. LGMD1 and LGMD2, have been identified which respond to looming objects rigorously with high firing rates. Compared to LGMD1, LGMD2 matures early in the… Expand
Towards a dynamic vision system: computational modelling of insect motion sensitive neural systems
TLDR
Novel modelling of the locust and fly visual systems for sensing looming and translating stimuli and the effectiveness and flexibility of the proposed motion sensitive neural systems have been validated by systematic and comparative experiments ranging from off-line synthetic and real-world tests to on-line bio-robotic tests. Expand

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