no code implementations • 9 Mar 2024 • Jincheng Zhang, William Ringle, Andrew R. Willis
Manual identification of archaeological features in LiDAR imagery is labor-intensive, costly, and requires archaeological expertise.
no code implementations • 12 Jan 2024 • Jincheng Zhang, Artur Wolek, Andrew R. Willis
Results indicate that for UAVs with restrictive computing resources, DSOL is the best option.
no code implementations • 19 Jan 2022 • Andrew R. Willis, Kevin Brink, Kathleen Dipple
The novelty of this work is threefold: (1) this is the first system to link the massive multi-spectral imaging database of Google's Earth Engine to the Gazebo simulator, (2) this is the first example of a system that can simulate geospatially and radiometrically accurate imagery from multiple sensor views of the same terrain region, and (3) integration with other UAS tools creates a new holistic UAS simulation environment to support UAS system and subsystem development where real-world testing would generally be prohibitive.
no code implementations • 11 Mar 2021 • John Papadakis, Andrew R. Willis
This article describes novel approaches to quickly estimate planar surfaces from RGBD sensor data.
no code implementations • 10 Mar 2021 • Andrew R. Willis, Kevin M. Brink
This article describes an algorithm that provides visual odometry estimates from sequential pairs of RGBD images.
Visual Odometry Robotics
no code implementations • 20 May 2020 • Kevin M. Brink, Jincheng Zhang, Andrew R. Willis, Ryan E. Sherrill, Jamie L. Godwin
Maplets are generated in an overlapping manner and used to estimate the transform and uncertainty between those overlapping maplets, providing accurate and compact odometry or delta-pose representation between maplet's local frames.
no code implementations • 20 May 2020 • Jincheng Zhang, Andrew R. Willis, Jamie Godwin
This article describes a new approach for distributed 3D SLAM map building.