53 citations · 69 across the 6 of their papers we have counts for
7 papers
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…
Data-Efficient Collaborative Decentralized Thermal-Inertial Odometry
Vincenzo Polizzi, Robert Hewitt, Javier Hidalgo-Carrió +2
We propose a system solution to achieve data-efficient, decentralized state estimation for a team of flying robots using thermal images and inertial measurements. Each robot can fl…
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…
Mid-Air Helicopter Delivery at Mars Using a Jetpack
Jeff Delaune, Jacob Izraelevitz, Samuel Sirlin +32
Mid-Air Helicopter Delivery (MAHD) is a new Entry, Descent and Landing (EDL) architecture to enable in situ mobility for Mars science at lower cost than previous missions. It uses…
Range-Visual-Inertial Odometry: Scale Observability Without Excitation
Jeff Delaune, David S. Bayard, Roland Brockers
Traveling at constant velocity is the most efficient trajectory for most robotics applications. Unfortunately without accelerometer excitation, monocular Visual-Inertial Odometry (…
xVIO: A Range-Visual-Inertial Odometry Framework
Jeff Delaune, David S. Bayard, Roland Brockers
xVIO is a range-visual-inertial odometry algorithm implemented at JPL. It has been demonstrated with closed-loop controls on-board unmanned rotorcraft equipped with off-the-shelf e…