LLM-Driven Testing for Autonomous Driving Scenarios. - Nenad Petrovic 001; Krzysztof Lebioda; Vahid Zolfaghari; André Schamschurko; Sven Kirchner; Nils Purschke; Fengjunjie Pan; Alois Knoll (FLLM, 2024)

AUTOFRAME - A Software-Driven Integration Framework for Automotive Systems. - Sven Kirchner; Nils Purschke; Chengdong Wu 002; Muhammad Aqib Khan; Divye Dixit; Alois C. Knoll (ITSC, 2024)

Synergy of Large Language Model and Model Driven Engineering for Automated Development of Centralized Vehicular Systems. - Nenad Petrovic 001; Fengjunjie Pan; Krzysztof Lebioda; Vahid Zolfaghari; Sven Kirchner; Nils Purschke; Muhammad Aqib Khan; Viktor Vorobev; Alois Knoll (CoRR, 2024)

TUMTraf Event: Calibration and Fusion Resulting in a Dataset for Roadside Event-Based and RGB Cameras. - Christian Creß; Walter Zimmer; Nils Purschke; Bach Ngoc Doan; Sven Kirchner; Venkatnarayanan Lakshminarasimhan; Leah Strand; Alois C. Knoll (IEEE Trans. Intell. Veh., 2024)

SpeedGen: Enhancing Code Efficiency through Large Language Model-Based Performance Optimization. - Nils Purschke; Sven Kirchner; Alois Knoll (SANER, 2025)

Generating Automotive Code: Large Language Models for Software Development and Verification in Safety-Critical Systems. - Sven Kirchner; Alois C. Knoll (CoRR, 2025)

Autonomous Vehicle Lateral Control Using Deep Reinforcement Learning with MPC-PID Demonstration. - Chengdong Wu 002; Sven Kirchner; Nils Purschke; Alois C. Knoll (CoRR, 2025)

Survey of GenAI for Automotive Software Development: From Requirements to Executable Code. - Nenad Petrovic 001; Vahid Zolfaghari; André Schamschurko; Sven Kirchner; Fengjunjie Pan; Chengdng Wu; Nils Purschke; Aleksei Velsh; Krzysztof Lebioda; Yinglei Song; Yi Zhang; Lukasz Mazur; et al. (CoRR, 2025)