Foto von Nicola Kolb

Nicola Kolb, M.Sc.

Technische Universität München

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

Postadresse

Postal:
Boltzmannstr. 3
85748 Garching b. München

  • Tel.: +49 (89) 289 - 17334
  • nicola.kolb(at)tum.de

About me

Since March 2021, I am a research associate at the Chair of Software and Systems Engineering (Prof. Dr. Pretschner). My main research focus lies on test ending criteria and test case generation for testing automated and autonomous driving systems. In this context, I study the scenario-based testing approach.

Prior to joining the chair, I worked as an IT specialist at the BMW Group in the vehicle data collection department for three years after completing the Speed-Up bachelor program at the BMW Group during my bachelor studies in Automotive Computer Science. I hold a masters degree in Robotics, Cognition, Intelligence from TU Munich. 

Student supervision

!I currently do not offer a thesis topic!

Get in touch if you are interested in guided research or in supervision for your master's or bachelor's thesis. If you have own thesis ideas I am open for discussions. If you apply, please attach your CV and transcript so I can get an impression on your preknowledge and experiences. 

Running 

Title Type                                          

Anomaly Detection of Connectivity Events in the
Automotive Domain

Master Thesis 

 

Done 

Title Type
Test Case Generation for Robust Behavior During Component Failures in Collaborating Autonomous Aerial Vehicles Master Thesis (with D.Marson)
Benchmark for Autonomous Vehicle Testing  Bachelor Thesis
Metamorphic Testing of Radar-Based Deep Learning Object Detectors  Master Thesis (with S. Speth)

Benchmark for Autonomous Vehicle Testing 

Guided Research
Search Space Creation for Testing Autonomous Vehicles Master Thesis
Applying Safety Testing to Collaborative Autonomous Drohnes (UAVs) Bachelor Thesis (with D.Marson)
Data-driven derivation of logical scenarios in the intersection context Master Thesis

Scenario description generation framework

Scientific supervision of students of the Vanderbilt University (with CJ)
Automatic derivation of traffic scenario instance descriptions for testing automated and autonomous driving systems in the intersection context (with CJ) Bachelor Thesis
Automatic derivation of traffic scenario instance descriptions for testing automated and autonomous driving systems in the highway context (with CJ) Bachelor Thesis
Tamper-proof Inverse Transparency Logs with Intel SGX (with VZ) Bachelor Thesis

 

Teaching

Semester Course
Winter 2024/2025 Automotive Software Development (IN2106, IN4124)
Summer 2024 Advanced Topics of Software Testing
Winter 2023/2024

Introduction to Model-based System Engineering – Develop Your Own Car  (in cooperation with fortiss)

Automotive Software Development (IN2106, IN4124)

Summer 2023 Advanced Topics of Software Testing
Winter 2022/2023 Introduction to Model-based System Engineering – Develop Your Own Car  (in cooperation with fortiss)
Summer 2022 Advanced Topics of Software Testing (guest contribution)
Winter 2021/2022 From Sub-Systems to Systems of Systems – Developing Autonomous Driving Functions (in cooperation with fortiss)
Summer 2021 Advanced Topics of Software Testing

 

Publications

Kolb, Nicola, Tabea Schmidt, Joachim Fröhlich, and Alexander Pretschner. "When to Apply Scenario-Based Testing to a New System Domain?" 2023 IEEE International Intelligent Transportation Systems Conference (ITSC). IEEE, 2023.

Kolb, Nicola, Claudius Jordan, Florian Huber, and Alexander Pretschner. "Automatic Evaluation of Automatically Derived Semantic Scenario Instance Descriptions" 2022 IEEE International Intelligent Transportation Systems Conference (ITSC). IEEE, 2022. 

Kolb, Nicola, Hauer, Florian, Golagha, Mojdeh, Pretschner, Alexander. "Data-Driven Assessment of Parameterized Scenarios for Autonomous Vehicles". In: Lecture Notes in Computer Science. Springer International Publishing, 2022

Kolb, Nicola, Florian Hauer, and Alexander Pretschner. "Fitness Function Templates for Testing Automated and Autonomous Driving Systems in Intersection Scenarios." 2021 IEEE International Intelligent Transportation Systems Conference (ITSC). IEEE, 2021.

Presentations

Title Event Date
Scenario-based Testing of Autonomous Vehicles BMW Summer School 2024 01.07 2024
When to Apply Scenario-based Testing to a New System Domain  ITSC 2023 25.09.2023
Assessing Scenario Instance Descriptions ITSC 2022 online recording
Suchbasierte Testfallgenerierung und Wiederverwendbarkeit im Kreuzungskontext AutoTest 2022 20.10.2022
Assessing Parameterized Scenarios SAFECOMP 2022 09.09.2022
Vollständigkeit von szenario-basierten Tests für autonome Fahrsysteme: Eine multidimensionale Herausforderung SAFE.TECH 2022 TÜV SÜD 10.05.2022
Fitness Functions in Intersection Scenarios ITSC 2021 online recording