WIT-UAS: A Wildland-fire Infrared Thermal Dataset to Detect Crew Assets From Aerial Views - Robotics Institute Carnegie Mellon University

WIT-UAS: A Wildland-fire Infrared Thermal Dataset to Detect Crew Assets From Aerial Views

Jong A, Yu M, Dhrafani D, Kailas S, Moon B, Sycara K, and Scherer S
Conference Paper, Proceedings of 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 11464-11471, 2023

BibTeX

@conference{Jong-2023-139833,
author = {Jong A, Yu M, Dhrafani D, Kailas S, Moon B, Sycara K, Scherer S},
title = {WIT-UAS: A Wildland-fire Infrared Thermal Dataset to Detect Crew Assets From Aerial Views},
booktitle = {Proceedings of 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
year = {2023},
month = {January},
pages = {11464-11471},
}