activity
20202026
most citedRange-Visual-Inertial Odometry: Scale Observability Without Excitation

53 citations · 94 across the 12 of their papers we have counts for

collaborators
Showing 2022Show all

6 papers · 1 filter

cs.RO2022★ 1 cited

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…

cs.RO2022★ 15 cited

INSANE: Cross-Domain UAV Data Sets with Increased Number of Sensors for developing Advanced and Novel Estimators

Christian Brommer, Alessandro Fornasier, Martin Scheiber +4

For real-world applications, autonomous mobile robotic platforms must be capable of navigating safely in a multitude of different and dynamic environments with accurate and robust…

cs.RO2022★ 12 cited

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…

cs.RO2022★ 1 cited

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…

cs.CV2022★ 3 cited

Exploring Event Camera-based Odometry for Planetary Robots

Florian Mahlknecht, Daniel Gehrig, Jeremy Nash +4

Due to their resilience to motion blur and high robustness in low-light and high dynamic range conditions, event cameras are poised to become enabling sensors for vision-based expl…

cs.RO2022★ 2 cited

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…