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ORCIDLorenz Klampfl
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2020 – today
- 2024
[j2]Lorenz Klampfl, Florian Klück, Mihai Nica, Jianbo Tao, Franz Wotawa
:
Testing ADAS/ADS - from critical scenarios to automated testing oracles. Elektrotech. Informationstechnik 141(6): 392-399 (2024)- [j1]Lorenz Klampfl, Florian Klück, Franz Wotawa:
Using genetic algorithms for automating automated lane-keeping system testing. J. Softw. Evol. Process. 36(3) (2024) - [c10]Lorenz Klampfl, Franz Wotawa:
Leveraging Answer Set Programming for Continuous Monitoring, Fault Detection, and Explanation of Automated and Autonomous Driving Systems. DX 2024: 10:1-10:20 - [c9]Ledio Jahaj, Lorenz Klampfl, Franz Wotawa:
Knowledge-Based Monitoring for Checking Law and Regulation Compliance. IEA/AIE 2024: 491-502 - 2023
- [c8]Lorenz Klampfl, Franz Wotawa:
Identifying Critical Scenarios in Autonomous Driving During Operation. ECAI Workshops (1) 2023: 156-172 - 2021
- [c7]David Kaufmann, Lorenz Klampfl, Florian Klück, Martin Zimmermann, Jianbo Tao:
Critical and Challenging Scenario Generation based on Automatic Action Behavior Sequence Optimization: 2021 IEEE Autonomous Driving AI Test Challenge Group 108. AITest 2021: 118-127 - [c6]Franz Wotawa, Lorenz Klampfl, Ledio Jahaj:
A framework for the automation of testing computer vision systems. AST@ICSE 2021: 121-124 - [c5]Florian Klück, Lorenz Klampfl, Franz Wotawa:
GABezier at the SBST 2021 Tool Competition. SBST@ICSE 2021: 38-39 - [c4]Nour Chetouane, Lorenz Klampfl, Franz Wotawa:
Extracting information from driving data using k-means clustering (S). SEKE 2021: 610-615 - [i2]Florian Klück, Lorenz Klampfl, Franz Wotawa:
Automatic Generation of Challenging Road Networks for ALKS Testing based on Bezier Curves and Search. CoRR abs/2103.01288 (2021) - [i1]Franz Wotawa, Lorenz Klampfl, Ledio Jahaj:
A framework for the automation of testing computer vision systems. CoRR abs/2105.04383 (2021) - 2020
- [c3]Franz Wotawa, Lorenz Klampfl:
Explaining Object Motion Using Answer Set Programming. ISMIS 2020: 298-307 - [c2]Lorenz Klampfl, Nour Chetouane, Franz Wotawa:
Mutation Testing for Artificial Neural Networks: An Empirical Evaluation. QRS 2020: 356-365
2010 – 2019
- 2019
- [c1]Nour Chetouane, Lorenz Klampfl, Franz Wotawa:
Investigating the Effectiveness of Mutation Testing Tools in the Context of Deep Neural Networks. IWANN (1) 2019: 766-777
Coauthor Index
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last updated on 2024-12-10 21:41 CET by the dblp team
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