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CAD2Real: Deep learning with domain randomization of CAD data for 3D pose estimation of electronic control unit housings
Electronic control units (ECUs) are essential for many automobile components, e.g. engine, anti-lock braking system (ABS), steering and airbags. For some products, the 3D pose of each single ECU needs to be determined during series production. Deep learning approaches can not easily be applied to this problem, because labeled training data is not available in sufficient numbers. Thus, we train state-of-the-art artificial neural networks (ANNs) on purely synthetic training data, which isdoi:10.5445/ir/1000127954 fatcat:b7d654g7q5a7poghyphyqciyf4