Search Results - "Kluck, Florian"
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Using genetic algorithms for automating automated lane‐keeping system testing
Published in Journal of software : evolution and process (01-03-2024)“…In this paper, we outline an approach for automatically generating challenging road networks for virtual testing of an automated lane‐keeping system. Based on…”
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Journal Article -
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Genetic Algorithm-Based Test Parameter Optimization for ADAS System Testing
Published in 2019 IEEE 19th International Conference on Software Quality, Reliability and Security (QRS) (01-07-2019)“…In this paper, we outline the use of a genetic algorithm for test parameter optimization in the context of autonomous and automated driving. Our approach…”
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Conference Proceeding -
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An empirical comparison of combinatorial testing and search-based testing in the context of automated and autonomous driving systems
Published in Information and software technology (01-08-2023)“…More automated and autonomous systems are becoming daily use that implements safety–critical functions, e.g., autonomous driving or mobile robots. Testing such…”
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Utilizing Genetic Algorithms for Generating Critical Scenarios for Testing Autonomous Driving Functions
Published in 2024 IEEE International Conference on Artificial Intelligence Testing (AITest) (15-07-2024)“…Finding critical scenarios is essential in testing autonomous driving and automated driving functions. Such scenarios describe a sequence of interactions…”
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Conference Proceeding -
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Summary of "An empirical comparison of combinatorial testing and search-based testing in the context of automated and autonomous driving systems"
Published in 2024 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW) (27-05-2024)“…In automated and autonomous driving, we need to verify the behavior considering critical interactions with the environment. To find such interactions, we need…”
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Conference Proceeding -
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Analysing Experimental Results Obtained when Applying Search-based Testing to Verify Automated Driving Functions
Published in 2021 8th International Conference on Dependable Systems and Their Applications (DSA) (01-08-2021)“…Assuring safety in case of automated and autonomous driving is of uttermost importance requiring exhaustive search for critical scenarios allowing to reveal…”
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Conference Proceeding -
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GABezier at the SBST 2021 Tool Competition
Published in 2021 IEEE/ACM 14th International Workshop on Search-Based Software Testing (SBST) (01-05-2021)“…GABezier is a search-based tool for the automatic generation of challenging road networks for virtual testing of an automated lane keep system (ALKS). This…”
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Conference Proceeding -
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Critical and Challenging Scenario Generation based on Automatic Action Behavior Sequence Optimization: 2021 IEEE Autonomous Driving AI Test Challenge Group 108
Published in 2021 IEEE International Conference on Artificial Intelligence Testing (AITest) (01-08-2021)“…Assuring the safety of automated and autonomous driving functions is crucial for a safe deployment of self-driving vehicles on public roads. This includes the…”
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Conference Proceeding -
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Testing ADAS/ADS – from critical scenarios to automated testing oracles
Published in Elektrotechnik und Informationstechnik (01-11-2024)“…Automated and autonomous driving systems are increasingly integrated into modern vehicles to support the vision of safe, efficient, and comfortable…”
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Journal Article -
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Comparing two systematic approaches for testing automated driving functions
Published in 2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE) (01-11-2019)“…Thoroughly validating and verifying automated or autonomous driving functions is inevitable for assuring to meet quality criteria for safety-critical systems…”
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Conference Proceeding -
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Quality assurance methodologies for automated driving
Published in Elektrotechnik und Informationstechnik (01-08-2018)“…For safety critical systems like cars, trains, or airplanes quality assurance methods and techniques are crucial for preventing situations that may harm…”
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Journal Article -
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Automatic Generation of Challenging Road Networks for ALKS Testing based on Bezier Curves and Search
Published 01-03-2021“…In this paper, we outline an approach for automatic generation of challenging road networks for virtual testing of an automated lane keep system. Based on a…”
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Journal Article