Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones

arXiv:2402.15273v1 Announce Type: cross
Abstract: Miniaturized autonomous unmanned aerial vehicles (UAVs) are gaining popularity due to their small size, enabling new tasks such as indoor navigation or people monitoring. Nonetheless, their size and simple electronics pose severe challenges in implementing advanced onboard intelligence. This work proposes a new automatic optimization pipeline for visual pose estimation tasks using Deep Neural Networks (DNNs). The pipeline leverages two different Neural Architecture Search (NAS) algorithms to pursue a vast complexity-driven exploration in the DNNs' …

abstract advanced aerial arxiv autonomous challenges cs.cv cs.lg deployment drones electronics enabling intelligence monitoring navigation networks neural networks people simple small tasks type unmanned aerial vehicles vehicles visual work