7 citations · 7 across the 2 of their papers we have counts for
3 papers
cs.AI2020
Enhancing LGMD's Looming Selectivity for UAV with Spatial-temporal Distributed Presynaptic Connections
Jiannan Zhao, Hongxin Wang, Shigang Yue
Collision detection is one of the most challenging tasks for Unmanned Aerial Vehicles (UAVs). This is especially true for small or micro UAVs, due to their limited computational po…
cs.RO2019
An LGMD Based Competitive Collision Avoidance Strategy for UAV
Jiannan Zhao, Xingzao Ma, Qinbing Fu +2
Building a reliable and efficient collision avoidance system for unmanned aerial vehicles (UAVs) is still a challenging problem. This research takes inspiration from locusts, which…
cs.NE2018★ 7 cited
A Bio-inspired Collision Detecotr for Small Quadcopter
Jiannan Zhao, Cheng Hu, Chun Zhang +2
Sense and avoid capability enables insects to fly versatilely and robustly in dynamic complex environment. Their biological principles are so practical and efficient that inspired…