An infrared dataset for partially occluded person detection in complex environment for search and rescue

Abstract The combination of unmanned aerial vehicles (UAVs) and deep learning has potential applicability in various complex search and rescue scenes. However, due to the presence of environmental occlusions such as trees, the performance of UAVs mounted with different optical payloads in detecting...

Description complète

Détails bibliographiques
Auteurs principaux: Zhuoyuan Song, Yili Yan, Yixin Cao, Shengzhi Jin, Fugui Qi, Zhao Li, Tao Lei, Lei Chen, Yu Jing, Juanjuan Xia, Xiangyang Liang, Guohua Lu
Format: Article
Langue:English
Publié: Nature Portfolio 2025-02-01
Collection:Scientific Data
Accès en ligne:https://doi.org/10.1038/s41597-025-04600-0