This paper presents performance analysis of two deep learning architectures for object detection YOLOv2 and YOLOv4-Tiny aimed at identifying the model state for inspecting the braking systems of Series 441 and 444 locomotives. This models were trained and evaluated using a unified dataset comprising images of 3220 Brak...
Marko Perić, A. Miltenović, Emina Petrović et al.· Proceedings· 0 citations
Modern railway vehicle design must satisfy numerous requirements related to safety, reliability, weight reduction, energy efficiency, and performance. Numerical methods such as FEM and multibody system models provide reliable results, but their application to complex problems and numerous operating conditions can requi...
Nađa Bradić, A. Miltenović, Danijela Ristić-Durrant et al.· Proceedings· 0 citations
Multi-lane overtaking among mixed-size vehicles produces highly transient aerodynamic interactions that challenge vehicle stability. This study investigates the unsteady aerodynamic response of a heavy-duty truck, an SUV, and a passenger sedan during an overtaking maneuver using transient CFD in ANSYS Fluent with dynam...
Daniela Alic, A. Miltenović, Olimpiu Suciu et al.· Applied Sciences· 0 citations
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