Abstract and keywords
Abstract (English):
This article presents the development of a novel method for identifying repair impacts on vehicle spare parts during automotive commodity research examinations.

Keywords:
vehicle technical expertise, damage assessment, spare parts, repair identification, machine learning
References

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. 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.

3. R.E. van Ruitenbeek. S. Bhulai. Convolutional Neural Networks for vehicle damage detection / Machine Learning with Applications Volume 9, 15 September 2022 - URL:https://www.sciencedirect.com/science/article/pii/S2666827022000433?pes=vor&utm_source=wiley&getft_integrator=wiley#b9.

4. Panumate Chetprayoon, Miki Katsuragi URL:https://cloud.google.com/blog/products/ai-machine-learning/identifying-vehicle-damage-effectively-with-explainable-ai.

5. Md Jahid Hasan, Cong Kha Nguyen, Yee Ling Boo, Hamed Jahani, Kok-Leong Ong. Vehicle Damage Detection Using Artificial Intelligence: A Systematic Literature Review. URL:https://wires.onlinelibrary.wiley.com/doi/full/10.1002/widm.70027

6. Evtyukov S. A., Vasil'ev Ya. V. Rekonstrukciya i ekspertiza DTP v primerah. SPb.: Izdatel'skiy dom Petropolis, 2012. 323 s.

7. Evtyukov S. A., Vasil'ev Ya. V. Ekspertiza DTP: metody i tehnologii. SPb., SPbGASU. 2012. 310 s.

Login or Create
* Forgot password?