Search Results for author: Andrew R. Willis

Found 7 papers, 0 papers with code

Unveiling Ancient Maya Settlements Using Aerial LiDAR Image Segmentation

no code implementations9 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.

Image Segmentation Semantic Segmentation

UAV-Borne Mapping Algorithms for Low-Altitude and High-Speed Drone Applications

no code implementations12 Jan 2024 Jincheng Zhang, Artur Wolek, Andrew R. Willis

Results indicate that for UAVs with restrictive computing resources, DSOL is the best option.

ROS georegistration: Aerial Multi-spectral Image Simulator for the Robot Operating System

no code implementations19 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.

Real-Time Surface Fitting to RGBD Sensor Data

no code implementations11 Mar 2021 John Papadakis, Andrew R. Willis

This article describes novel approaches to quickly estimate planar surfaces from RGBD sensor data.

Camera Calibration regression

Real-Time RGBD Odometry for Fused-State Navigation Systems

no code implementations10 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

Maplets: An Efficient Approach for Cooperative SLAM Map Building Under Communication and Computation Constraints

no code implementations20 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.

Simultaneous Localization and Mapping

Compute-Bound and Low-Bandwidth Distributed 3D Graph-SLAM

no code implementations20 May 2020 Jincheng Zhang, Andrew R. Willis, Jamie Godwin

This article describes a new approach for distributed 3D SLAM map building.

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