Artificial Intelligence
可解释AI车辆损伤评估与保险决策支持系统
Explainable AI-Based Vehicle Damage Assessment and Insurance Decision Support SystemA pipeline integrating damage detection, classification, cost estimation, and fraud risk analysis using Explainable AI (XAI) methods like Grad-CAM and SHAP/LIME to provide transparent reports for insurance claims. / 一种集成损伤检测、分类、成本估算和欺诈风险分析的管道，使用可解释人工智能（XAI）方法（如Grad-CAM和SHAP/LIME）为保险索赔提供透明报告。
- Knowledge type
- 实际应用
- First proposed or discovered
- 2026
- Proposer
- Jeenus C Jino, Devsankar V Babu, Anandhakrishnan, Ashish Krishna, Sudharma G, Anjitha P
- Creator
- 农场主
- Last updated
- 2026-11-14 19:05:42
Sub-knowledge points
Damage Detection and SegmentationDamage Type ClassificationRepair Cost EstimationFraud Risk AssistanceClaim Recommendation
Higher-order knowledge points
No connected node yet
Main parameters and performance indicators
YOLOv11: Object detection modelOpenCV: Image processing libraryCarDD dataset: Vehicle damage datasetGrad-CAM: Visualization techniqueSHAP/LIME: Explainability algorithms
Open problems
No unresolved problem recorded yet
Related literature
ranked by community starsExplainable AI-Based Vehicle Damage Assessment and Insurance Decision Support SystemOpen source
Related products and links
Explainable Report
Creation and modification trail
1 recordsRecord title: Explainable AI-Based Vehicle Damage Assessment and Insurance Decision Support System.
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