5 papers · 1 filter
Bayesian Data Augmentation for DNN Retraining with Binomial Outcomes in Vision-Based UAV Landing
Ashik E Rasul, Hyung-Jin Yoon
In GPS-denied or cluttered urban environments, vision-based landing is essential for reliable UAV missions. Real-world landing sites are often unstructured and highly variable, req…
Online Planning for Sparse Ground Target Search from a High-Altitude UAV under Partial Observability
Ashik E Rasul, Hyung-Jin Yoon
Unmanned aerial vehicles (UAVs) searching for ground targets from a high altitude face a unique challenge, particularly when the target is already within the field of view but effe…
Expert Switching for Robust AAV Landing: A Dual-Detector Framework in Simulation
Humaira Tasnim, Ashik E Rasul, Bruce Jo +1
Reliable helipad detection is essential for Autonomous Aerial Vehicle (AAV) landing, especially under GPS-denied or visually degraded conditions. While modern detectors such as YOL…
Development and Testing for Perception Based Autonomous Landing of a Long-Range QuadPlane
Ashik E Rasul, Humaira Tasnim, Ji Yu Kim +4
QuadPlanes combine the range efficiency of fixed-wing aircraft with the maneuverability of multi-rotor platforms for long-range autonomous missions. In GPS-denied or cluttered urba…
Bayesian Data Augmentation and Training for Perception DNN in Autonomous Aerial Vehicles
Ashik E Rasul, Humaira Tasnim, Hyung-Jin Yoon +5
Learning-based solutions have enabled incredible capabilities for autonomous systems. Autonomous vehicles, both aerial and ground, rely on DNN for various integral tasks, including…