@inproceedings{aa2b10a22c7147419862af43a1404d3c,
title = "Armored vehicle target vulnerability database software design",
abstract = "In order to conduct a comprehensive vulnerability analysis of armored vehicles, we developed armored vehicle target vulnerability database software using Visual Studio 2019 software development tool and Sqlite database software. The software consists of modules such as target function and structure analysis, target damage level and damage tree, target equivalence model and target damage criterion, which contain various conditions for vulnerability analysis of armored vehicles and lay the foundation for damage assessment of armored vehicle targets.",
keywords = "Armored vehicles, Databases, Software design, Vulnerability",
author = "Zhengang Liang and Lidan Chen and Shushan Wang and Hongzhi Zhao",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE.; 3rd International Conference on Computer Vision and Data Mining, ICCVDM 2022 ; Conference date: 19-08-2022 Through 21-08-2022",
year = "2023",
doi = "10.1117/12.2660312",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Tao Zhang and Ting Yang",
booktitle = "Third International Conference on Computer Vision and Data Mining, ICCVDM 2022",
address = "United States",
}