Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Willis, Andrew R."'
Manual identification of archaeological features in LiDAR imagery is labor-intensive, costly, and requires archaeological expertise. This paper shows how recent advancements in deep learning (DL) present efficient solutions for accurately segmenting
Externí odkaz:
http://arxiv.org/abs/2403.05773
Publikováno v:
Sensors 24, no. 7: 2204
This article presents an analysis of current state-of-the-art sensors and how these sensors work with several mapping algorithms for UAV (Unmanned Aerial Vehicle) applications, focusing on low-altitude and high-speed scenarios. A new experimental con
Externí odkaz:
http://arxiv.org/abs/2401.06407
Infrared thermography has been widely used in several domains to capture and measure temperature distributions across surfaces and objects. This methodology can be further expanded to 3D applications if the spatial distribution of the temperature dis
Externí odkaz:
http://arxiv.org/abs/2304.03930
This article describes a software package called ROS georegistration intended for use with the Robot Operating System (ROS) and the Gazebo 3D simulation environment. ROSgeoregistration provides tools for the simulation, test and deployment of aerial
Externí odkaz:
http://arxiv.org/abs/2201.07863
Autor:
Zhang, Jincheng1 (AUTHOR) arwillis@charlotte.edu, Willis, Andrew R.1 (AUTHOR)
Publikováno v:
Sensors (14248220). Jun2024, Vol. 24 Issue 12, p3874. 23p.
Autor:
Papadakis, John, Willis, Andrew R.
This article describes novel approaches to quickly estimate planar surfaces from RGBD sensor data. The approach manipulates the standard algebraic fitting equations into a form that allows many of the needed regression variables to be computed direct
Externí odkaz:
http://arxiv.org/abs/2103.06644
Autor:
Willis, Andrew R., Brink, Kevin M.
This article describes an algorithm that provides visual odometry estimates from sequential pairs of RGBD images. The key contribution of this article on RGBD odometry is that it provides both an odometry estimate and a covariance for the odometry pa
Externí odkaz:
http://arxiv.org/abs/2103.06236
This article introduces an approach to facilitate cooperative exploration and mapping of large-scale, near-ground, underground, or indoor spaces via a novel integration framework for locally-dense agent map data. The effort targets limited Size, Weig
Externí odkaz:
http://arxiv.org/abs/2005.10310
This article describes a new approach for distributed 3D SLAM map building. The key contribution of this article is the creation of a distributed graph-SLAM map-building architecture responsive to bandwidth and computational needs of the robotic plat
Externí odkaz:
http://arxiv.org/abs/2005.10222
Synthetic Aperture Radar (SAR) is a critical sensing technology that is notably independent of the sensor-to-target distance and has numerous cross-cutting applications, e.g., target recognition, mapping, surveillance, oceanography, geology, forestry
Externí odkaz:
http://arxiv.org/abs/2005.09736