High-throughput Visual Nano-drone to Nano-drone Relative Localization using Onboard Fully Convolutional Networks

arXiv:2402.13756v1 Announce Type: new
Abstract: Relative drone-to-drone localization is a fundamental building block for any swarm operations. We address this task in the context of miniaturized nano-drones, i.e., 10cm in diameter, which show an ever-growing interest due to novel use cases enabled by their reduced form factor. The price for their versatility comes with limited onboard resources, i.e., sensors, processing units, and memory, which limits the complexity of the onboard algorithms. A traditional solution to overcome these limitations is represented …

abstract arxiv block building cases context cs.cv cs.ro drone drones form localization networks novel operations show type use cases visual