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Robert A. Hewitt

4 accepted papers

2023

Feature-Based Scanning LiDAR-Inertial Odometry Using Factor Graph Optimization

RA-L 2023

Localization of a mobile robot in the absence of an absolute position sensor often relies on techniques such as visual or lidar-inertial odometry. While lidar has many advantages, the most capable sensors use scanning mechanisms, leading to motion-distorted scans. Previous strategies used to account

Cited by 17SourceScholar
2023

TRADE: Object Tracking with 3D Trajectory and Ground Depth Estimates for UAVs

ICRA 2023poster

We propose TRADE for robust tracking and 3D localization of a moving target in complex environments, from UAVs equipped with a single camera. Ultimately TRADE enables 3d-aware target following. Tracking-by-detection approaches are vulnerable to target switching, especially between similar objects. T…

Cited by 4SourceScholar
2022

Data-Efficient Collaborative Decentralized Thermal-Inertial Odometry

RA-L 2022

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 fly independently, and exchange data when possible to refine its state estimate. Our system front-end applies an online ph

Cited by 15SourcecodeScholar