3 papers
eess.SY2020
Supporting Safe Decision Making Through Holistic System-Level Representations & Monitoring -- A Summary and Taxonomy of Self-Representation Concepts for Automated Vehicles
Marcus Nolte, Inga Jatzkowski, Susanne Ernst +1
The market introduction of automated vehicles has motivated intense research efforts into the safety of automated vehicle systems. Unlike driver assistance systems, SAE Level 3+ sy…
eess.SY2020
Sensitivity Analysis for Vehicle Dynamics Models -- An Approach to Model Quality Assessment for Automated Vehicles
Marcus Nolte, Richard Schubert, Cordula Reisch +1
Model-based approaches have become increasingly popular in the domain of automated driving. This includes runtime algorithms, such as Model Predictive Control, as well as formal an…
cs.CV2018
Assessment of Deep Convolutional Neural Networks for Road Surface Classification
Marcus Nolte, Nikita Kister, Markus Maurer
When parameterizing vehicle control algorithms for stability or trajectory control, the road-tire friction coefficient is an essential model parameter when it comes to control perf…