8 citations · 15 across the 2 of their papers we have counts for
3 papers
Hardware faults that matter: Understanding and Estimating the safety impact of hardware faults on object detection DNNs
Syed Qutub, Florian Geissler, Yang Peng +4
Object detection neural network models need to perform reliably in highly dynamic and safety-critical environments like automated driving or robotics. Therefore, it is paramount to…
Targetless Rotational Auto-Calibration of Radar and Camera for Intelligent Transportation Systems
Christoph Schöller, Maximilian Schnettler, Annkathrin Krämmer +4
Most intelligent transportation systems use a combination of radar sensors and cameras for robust vehicle perception. The calibration of these heterogeneous sensor types in an auto…
Neural Networks for Safety-Critical Applications - Challenges, Experiments and Perspectives
Chih-Hong Cheng, Frederik Diehl, Yassine Hamza +5
We propose a methodology for designing dependable Artificial Neural Networks (ANN) by extending the concepts of understandability, correctness, and validity that are crucial ingred…