Armored vehicle target vulnerability database software design

Zhengang Liang; Lidan Chen; Shushan Wang; Hongzhi Zhao

doi:10.1117/12.2660312

3 February 2023 Armored vehicle target vulnerability database software design

Zhengang Liang, Lidan Chen, Shushan Wang, Hongzhi Zhao

Proceedings Volume 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022); 125110A (2023) https://doi.org/10.1117/12.2660312
Event: Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 2022, Hulun Buir, China

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.

Citation Download Citation

Zhengang Liang, Lidan Chen, Shushan Wang, and Hongzhi Zhao "Armored vehicle target vulnerability database software design", Proc. SPIE 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 125110A (3 February 2023); https://doi.org/10.1117/12.2660312

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