Sven Kirchner

Orcid: 0009-0004-3845-6772

According to our database1, Sven Kirchner authored at least 13 papers between 2024 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
From Code to Road: A Vehicle-in-the-Loop and Digital Twin-Based Framework for Central Car Server Testing in Autonomous Driving.
CoRR, March, 2026

Towards Safety-Compliant Transformer Architectures for Automotive Systems.
CoRR, January, 2026

2025
LLM-Empowered Event-Chain Driven Code Generation for ADAS in SDV systems.
CoRR, November, 2025

DepthVision: Robust Vision-Language Understanding through GAN-Based LiDAR-to-RGB Synthesis.
CoRR, September, 2025

Survey of GenAI for Automotive Software Development: From Requirements to Executable Code.
CoRR, July, 2025

A Software-Based Approach for Detecting Tire Blowouts Through Inertial Measurement Anomalies in Autonomous Vehicles with Machine Learning.
Proceedings of the 101st IEEE Vehicular Technology Conference, 2025

SpeedGen: Enhancing Code Efficiency through Large Language Model-Based Performance Optimization.
Proceedings of the IEEE International Conference on Software Analysis, 2025

Autonomous Vehicle Lateral Control Using Deep Reinforcement Learning with MPC-PID Demonstration.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

Generating Automotive Code: Large Language Models for Software Development and Verification in Safety-Critical Systems.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

2024
TUMTraf Event: Calibration and Fusion Resulting in a Dataset for Roadside Event-Based and RGB Cameras.
IEEE Trans. Intell. Veh., July, 2024

Synergy of Large Language Model and Model Driven Engineering for Automated Development of Centralized Vehicular Systems.
CoRR, 2024

AUTOFRAME - A Software-Driven Integration Framework for Automotive Systems.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

LLM-Driven Testing for Autonomous Driving Scenarios.
Proceedings of the 2nd International Conference on Foundation and Large Language Models, 2024


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