Data-driven Deep learning for Automated Vehicle Damage Severity Assessment

Romanovskis, Vadims (2026) Data-driven Deep learning for Automated Vehicle Damage Severity Assessment. Bachelor's, Technische Hochschule Köln.

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Document Type:

Thesis (Bachelor's)

Title:

Data-driven Deep learning for Automated Vehicle Damage Severity Assessment

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Romanovskis, Vadims	TH Köln	UNSPECIFIED	UNSPECIFIED

DLR Supervisors:

Contribution	DLR Supervisor	Institution or E-Mail	DLR Supervisor's ORCID iD
Thesis advisor	Akdag, Hakan	hakan.akdag (at) dlr.de	https://orcid.org/0000-0003-0876-3515

Date:

2026

Open Access:

Number of Pages:

Status:

Published

Keywords:

Computer vision, deep learning, classification

Institution:

Technische Hochschule Köln

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Space

HGF - Program Themes:

Space System Technology

DLR - Research area:

Raumfahrt

DLR - Program:

R SY - Space System Technology

DLR - Research theme (Project):

R - CERES | Computing efficiency and resilience for space software

Location:

Köln-Porz

Institutes and Institutions:

Deposited By:

Akdag, Dr. Hakan

Deposited On:

09 Mar 2026 13:12

Last Modified:

09 Mar 2026 13:12

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