no code implementations • 14 Jan 2018 • Jiannan Zhao, Cheng Hu, Chun Zhang, Zhihua Wang, Shigang Yue
The observed results from the experiments demonstrated that the LGMD collision detector is feasible to work as a vision module for the quadcopter's collision avoidance task.
no code implementations • 22 Dec 2017 • Qinbing Fu, Cheng Hu, Shigang Yue
The results demonstrated this framework is able to detect looming dark objects embedded in bright backgrounds selectively, which make it ideal for ground mobile platforms.
no code implementations • 3 Apr 2019 • Qinbing Fu, Hongxin Wang, Cheng Hu, Shigang Yue
A good number of motion detectors have been identified in the insects' visual pathways.
no code implementations • 15 Apr 2019 • Jiannan Zhao, Xingzao Ma, Qinbing Fu, Cheng Hu, Shigang Yue
In this paper, we present an LGMD based competitive collision avoidance method for UAV indoor navigation.
no code implementations • 15 Apr 2019 • Qinbing Fu, Cheng Hu, Pengcheng Liu, Shigang Yue
The presented system is a synthetic neural network, which comprises two complementary sub-systems with four spiking neurons -- the lobula giant movement detectors (LGMD1 and LGMD2) in locusts for sensing looming and recession, and the direction selective neurons (DSN-R and DSN-L) in flies for translational motion extraction.
no code implementations • 29 Dec 2019 • Hongxin Wang, Huatian Wang, Jiannan Zhao, Cheng Hu, Jigen Peng, Shigang Yue
Discriminating small moving objects within complex visual environments is a significant challenge for autonomous micro robots that are generally limited in computational power.
no code implementations • 27 Apr 2021 • Hongxin Wang, Jiannan Zhao, Huatian Wang, Cheng Hu, Jigen Peng, Shigang Yue
The developed visual system comprises three main subsystems, namely, an attention module, an STMD-based neural network, and a prediction module.