Russian Federation
The article discusses the creation of an improved method for determining the usable remnants of vehicles during automotive product examinations, as well as the residual value.
automotive expertise, method of determining usable residues, assessment methodology, residual value of the vehicle, technical and economic analysis of the vehicle, maintainability of transport parts
1. Metodicheskie rekomendacii po provedeniyu sudebnyh avtotehnicheskih ekspertiz i issledovaniy kolesnyh transportnyh sredstv v celyah opredeleniya razmera uscherba, stoimosti vosstanovitel'nogo remonta i ocenki. M.: FBU RFRCSE pri Minyuste Rossii, 2018 g.
2. Evtyukov S. A., Vasil'ev Ya. V. Rekonstrukciya i ekspertiza DTP v primerah. SPb.: Izdatel'skiy dom Petropolis, 2012. 323 s.
3. Evtyukov S. A., Vasil'ev Ya. V. Ekspertiza DTP: metody i tehnologii. SPb., SPbGASU. 2012. 310 s.
4. Md Dzhahid Hasan, Kong Kha Nguen, Yi Ling Bu, Hamed Dzhahani, Kok-Leong Ong. Vehicle Damage Detection Using Artificial Intelligence: A Systematic Literature Review / WIREs Journals Wiley Online Library / 2025. URL: https://wires.onlinelibrary.wiley.com/doi/full/10.1002/widm.70027
5. Dzh. Naganandini, Shubhodip Adarak, Rogalik s Prashantom. CNN-Based Car Damage Detection / Springer Nature Link / 2022, pp 673–680. URL: https://link.springer.com/chapter/10.1007/978-981-19-2350-0_64?fromPaywallRec=true
6. Namam A. Mohammed, Moayad Y. Potrus, Abbas M. Ali. Deep Learning Based Car Damage Classificationand Cost Estimation / ZANCOJournal of Pure and Applied SciencesThe official scientific journal of Salahaddin University-Erbil // ZJPAS: 2023, 35(1): 1-9 URL: https://zancojournal.su.edu.krd/index.php/JPAS/article/view/303/236.
7. Panumate Chetprayoon, Miki Katsuragi URL:https://cloud.google.com/blog/products/ai-machine-learning/identifying-vehicle-damage-effectively-with-explainable-ai.
