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20172023
most citedAssessment of Deep Convolutional Neural Networks for Road Surface Classification

121 citations · 419 across the 24 of their papers we have counts for

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Showing 2021Show all

4 papers · 1 filter

cs.SE2021★ 13 cited

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…

eess.SY2021★ 48 cited

A Taxonomy to Unify Fault Tolerance Regimes for Automotive Systems: Defining Fail-Operational, Fail-Degraded, and Fail-Safe

Torben Stolte, Stefan Ackermann, Robert Graubohm +4

This paper presents a taxonomy that allows defining the fault tolerance regimes fail-operational, fail-degraded, and fail-safe in the context of automotive systems. Fault tolerance…

cs.SE2021★ 28 cited

Toward a Consistent Taxonomy for Scenario-Based Development and Test Approaches for Automated Vehicles: A Proposal for a Structuring Framework, a Basic Vocabulary, and its Application

Markus Steimle, Till Menzel, Markus Maurer

Ensuring and validating the safe operation of automated vehicles are key challenges for their market launch. Scenario-based development and test approaches are currently being purs…

cs.AI2021

A Knowledge-based Approach for the Automatic Construction of Skill Graphs for Online Monitoring

Inga Jatzkowski, Till Menzel, Ansgar Bock +1

Automated vehicles need to be aware of the capabilities they currently possess. Skill graphs are directed acylic graphs in which a vehicle's capabilities and the dependencies betwe…