Search Results for author: Andrew Willis

Found 8 papers, 2 papers with code

Design and Flight Demonstration of a Quadrotor for Urban Mapping and Target Tracking Research

no code implementations20 Feb 2024 Collin Hague, Nick Kakavitsas, Jincheng Zhang, Chris Beam, Andrew Willis, Artur Wolek

This paper describes the hardware design and flight demonstration of a small quadrotor with imaging sensors for urban mapping, hazard avoidance, and target tracking research.

GPU-Accelerated 3D Polygon Visibility Volumes for Synergistic Perception and Navigation

no code implementations5 Feb 2024 Andrew Willis, Collin Hague, Artur Wolek, Kevin Brink

UAV missions often require specific geometric constraints to be satisfied between ground locations and the vehicle location.

Cesium Tiles for High-realism Simulation and Comparing SLAM Results in Corresponding Virtual and Real-world Environments

no code implementations15 Jan 2024 Chris Beam, Jincheng Zhang, Nicholas Kakavitsas, Collin Hague, Artur Wolek, Andrew Willis

The impact of this can be significant, potentially allowing expansive virtual testing of robotic systems at specific deployment locations to develop solutions that are tailored to the environment and potentially outperforming solutions meant to work in completely generic environments.

Planning Visual Inspection Tours for a 3D Dubins Airplane Model in an Urban Environment

1 code implementation12 Jan 2023 Collin Hague, Andrew Willis, Dipankar Maity, Artur Wolek

Four sampling algorithms are proposed for sampling vehicle configurations within each visibility volume to define vertices of the underlying DTSPN.

Structure-From-Motion and RGBD Depth Fusion

no code implementations10 Mar 2021 Akash Chandrashekar, John Papadakis, Andrew Willis, Jamie Gantert

This article describes a technique to augment a typical RGBD sensor by integrating depth estimates obtained via Structure-from-Motion (SfM) with sensor depth measurements.

Object Recognition

A System for 3D Reconstruction Of Comminuted Tibial Plafond Bone Fractures

no code implementations23 Feb 2021 Pengcheng Liu, Nathan Hewitt, Waseem Shadid, Andrew Willis

We propose a system to semi-automatically extract quantitative metrics that are major indicators of fracture severity.

3D Reconstruction Anatomy

MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution

2 code implementations ECCV 2020 Taojiannan Yang, Sijie Zhu, Chen Chen, Shen Yan, Mi Zhang, Andrew Willis

We propose the width-resolution mutual learning method (MutualNet) to train a network that is executable at dynamic resource constraints to achieve adaptive accuracy-efficiency trade-offs at runtime.

Instance Segmentation object-detection +3

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