Towards bio-inspired visual navigation: a neuromorphic navigation paradigm for MAVs
The paper proposes an end-to-end event-driven neuromorphic system for Micro Aerial Vehicle (MAV) visual navigation in complex environments. It integrates neuromorphic vision, spiking neural networks, and processors to mimic biological systems. The method achieves performance comparable to traditional AI while drastically reducing power consumption.