Foto von Florian Hauer

M.Sc. Florian Hauer

Technische Universität München

Dienstort

Informatik 4 - Lehrstuhl für Software & Systems Engineering (Prof. Pretschner)

Work:
Boltzmannstr. 3(5611)/I
85748 Garching b. München

  • Tel.: +49 (89) 289 - 17885
  • Raum: 5611.01.055
  • florian.hauer(at)tum.de

About Me

Since end of 2016, Florian Hauer is a research associate at the Chair of Software and Systems Engineering (Prof. Dr. Pretschner). His main research focus lies on the generation of test scenarios and on test exit criteria for testing automated and autonomous driving systems.

Publications

Alessandro Calò; Paolo Arcaini; Shaukat Ali; Florian Hauer; Fuyuki Ishikawa: Simultaneously Searching and Solving Multiple Avoidable Collisions for Testing Autonomous Driving Systems, the Genetic and Evolutionary Computation Conference 2020; to appear

Alessandro Calò; Paolo Arcaini; Shaukat Ali; Florian Hauer; Fuyuki Ishikawa: Generating Avoidable Collision Scenarios for Testing Autonomous Driving Systems, IEEE International Conference on Software Testing, Verification and Validation (ICST), 2020; to appear; preprint available here 

Florian Hauer; Raphael Stern, Alexander Pretschner: Selecting Flow Optimal System Parameters for Automated Driving Systems, IEEE Intelligent Transportation Systems Conference (ITSC), 2019

Florian Hauer; Tabea Schmidt; Bernd Holzmüller; Alexander Pretschner: Did We Test All Scenarios for Automated and Autonomous Driving Systems?, IEEE Intelligent Transportation Systems Conference (ITSC), 2019

Florian Hauer; Bernd Holzmüller: How Many Test Scenarios Do We Need for Testing Automated and Autonomous Driving Systems?, (German) TÜV Conference on Automated Driving, 2019

Florian Hauer; Alexander Pretschner; Bernd Holzmüller: Fitness Functions for Testing Automated and Autonomous Driving, International Conference on Computer Safety, Reliability and Security (SafeComp), 2019

Florian Hauer; Bernd Holzmüller: Szenario-Optimierung für die Absicherung von automatisierten und autonomen Fahrsystemen, (German) FKFS AutoTest Conference, 2018

Florian Hauer; Alexander Pretschner; Maximilian Schmitt; Markus Grötsch: Industrial Evaluation of Search-Based Test Generation Techniques for Control Systems. 2017 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)

Feldmann Stefan; Florian Hauer; ...: Management of Inconsistencies in Domain-Spanning Models - An Interactive Visualization Approach, International Conference on Human Interface and the Management of Information, 2017

Feldmann Stefan; Florian Hauer; ...: Analysis Framework for Evaluating PLC Software: An Application of Semantic Web Technologies, IEEE International Symposium on Industrial Electronics (ISIE), 2016

Bachelor's / Master's Thesis and Guided Research Topics

Open:

      If you want to write a thesis in my area of research, please send me an e-mail!

Ongoing:

Completed:

  • Model-Based Labeling of Recorded Traffic Scenarios, 2020
  • Generating Avoidable Collision Scenarios for Testing Automated and Autonomous Driving Systems, 2019
  • Automated, Template-Based Fitness Function Derivation for Search-Based Test Scenario Optimization, 2018
  • Editor for Graph-Based Description and Generation of Parametrized Test Scenarios for Advanced Driver Assistance Systems, 2018
  • Testing Advanced Driver Assistance Systems: Procedural Environment Generation for Simulated Test Scenarios, 2017
  • Search-Based Procedural Environment Generation for Simulated Test Scenarios, 2017
  • Evaluierung suchebasierter Verfahren zur automatischen Generierung von Testfällen für kontinuierliche Systeme, 2017