Search Results for author: Shervin Raafatnia

Found 2 papers, 0 papers with code

Deep Learning Safety Concerns in Automated Driving Perception

no code implementations7 Sep 2023 Stephanie Abrecht, Alexander Hirsch, Shervin Raafatnia, Matthias Woehrle

Recent advances in the field of deep learning and impressive performance of deep neural networks (DNNs) for perception have resulted in an increased demand for their use in automated driving (AD) systems.

Safety Concerns and Mitigation Approaches Regarding the Use of Deep Learning in Safety-Critical Perception Tasks

no code implementations22 Jan 2020 Oliver Willers, Sebastian Sudholt, Shervin Raafatnia, Stephanie Abrecht

Deep learning methods are widely regarded as indispensable when it comes to designing perception pipelines for autonomous agents such as robots, drones or automated vehicles.

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