112 citations · 176 across the 10 of their papers we have counts for
10 papers
AnalogDepth: Multi-view Geometry from FPV drones under Analog Video Transmission
André Amorim, Pedro F. Proença
Analog video transmission (VTX) remains widespread in FPV drones due to low latency, weight and low cost. However analog VTX suffers from complex spatially structured image degrada…
TRADE: Object Tracking with 3D Trajectory and Ground Depth Estimates for UAVs
Pedro F. Proença, Patrick Spieler, Robert A. Hewitt +1
We propose TRADE for robust tracking and 3D localization of a moving target in cluttered environments, from UAVs equipped with a single camera. Ultimately TRADE enables 3d-aware ta…
Optimizing Terrain Mapping and Landing Site Detection for Autonomous UAVs
Pedro F. Proença, Jeff Delaune, Roland Brockers
The next generation of Mars rotorcrafts requires on-board autonomous hazard avoidance landing. To this end, this work proposes a system that performs continuous multi-resolution he…
Multi-Resolution Elevation Mapping and Safe Landing Site Detection with Applications to Planetary Rotorcraft
Pascal Schoppmann, Pedro F. Proença, Jeff Delaune +5
In this paper, we propose a resource-efficient approach to provide an autonomous UAV with an on-board perception method to detect safe, hazard-free landing sites during flights ove…
TACO: Trash Annotations in Context for Litter Detection
Pedro F Proença, Pedro Simões
TACO is an open image dataset for litter detection and segmentation, which is growing through crowdsourcing. Firstly, this paper describes this dataset and the tools developed to s…
Deep Learning for Spacecraft Pose Estimation from Photorealistic Rendering
Pedro F. Proenca, Yang Gao
On-orbit proximity operations in space rendezvous, docking and debris removal require precise and robust 6D pose estimation under a wide range of lighting conditions and against hi…