3 papers
cs.CV2026
Learning on the Fly: Replay-Based Continual Object Perception for Indoor Drones
Sebastian-Ion Nae, Mihai-Eugen Barbu, Sebastian Mocanu +1
Autonomous agents such as indoor drones must learn new object classes in real-time while limiting catastrophic forgetting, motivating Class-Incremental Learning (CIL). However, mos…
cs.CV2025
Self-Supervised Learning to Fly using Efficient Semantic Segmentation and Metric Depth Estimation for Low-Cost Autonomous UAVs
Sebastian Mocanu, Emil Slusanschi, Marius Leordeanu
This paper presents a vision-only autonomous flight system for small UAVs operating in controlled indoor environments. The system combines semantic segmentation with monocular dept…
cs.CV2025
Efficient Self-Supervised Neuro-Analytic Visual Servoing for Real-time Quadrotor Control
Sebastian Mocanu, Sebastian-Ion Nae, Mihai-Eugen Barbu +1
This work introduces a self-supervised neuro-analytical, cost efficient, model for visual-based quadrotor control in which a small 1.7M parameters student ConvNet learns automatica…