Similar part identification integrating machine learning approaches with a SDM workflow

Machine learning (ML) approaches for geometric part recognition have been evaluated with 3D automotive data in [1], where only one vehicle was used (Toyota Yaris with around 200 parts) and the exact match was tested, which means that the model was able to identify only the particular part shown regardless of the other classes (one-to-one match).