14 citations · 34 across the 8 of their papers we have counts for
3 papers · 1 filter
A Needle in a Haystack -- How to Derive Relevant Scenarios for Testing Automated Driving Systems in Urban Areas
Nico Weber, Christoph Thiem, Ulrich Konigorski
While there was great progress regarding the technology and its implementation for vehicles equipped with automated driving systems (ADS), the problem of how to proof their safety…
Toward Generating Sufficiently Valid Test Case Results: A Method for Systematically Assigning Test Cases to Test Bench Configurations in a Scenario-Based Test Approach for Automated Vehicles
Markus Steimle, Nico Weber, Markus Maurer
To successfully launch automated vehicles into the consumer market, there must be credible proof that the vehicles will operate safely. However, finding a method to validate the ve…
HALF: Holistic Auto Machine Learning for FPGAs
Jonas Ney, Dominik Loroch, Vladimir Rybalkin +3
Deep Neural Networks (DNNs) are capable of solving complex problems in domains related to embedded systems, such as image and natural language processing. To efficiently implement…