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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 cs.SEShow 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…

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.SE2019★ 1 cited

From Functional to Logical Scenarios: Detailing a Keyword-Based Scenario Description for Execution in a Simulation Environment

Till Menzel, Gerrit Bagschik, Leon Isensee +2

Scenario-based development and test processes are a promising approach for verifying and validating automated driving functions. For this purpose, scenarios have to be generated du…

cs.SE2018

Scenarios for Development, Test and Validation of Automated Vehicles

Till Menzel, Gerrit Bagschik, Markus Maurer

The ISO 26262 standard from 2016 represents the state of the art for a safety-guided development of safety-critical electric/electronic vehicle systems. These vehicle systems inclu…