Our AVS Labs research is motivated by the goal of developing the next generation of intelligent autonomous vehicles. We aim to develop autonomous vehicles that will be able to interact with each other and with humans while operating safely, efficiently, and powerfully. On Our Github page you will find resources for teaching and research. Here you will find the algorithms, tools and simulations we developed to enable safe and trustworthy autonomy for a wide range of highly integrated autonomous vehicle applications.
TUM - Autonomous Vehicle Systems Lab
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Repositories
- target-bench Public
[ECCV'26] Official repo for Target-Bench: Can World Models Achieve Mapless Path Planning with Semantic Targets?
TUM-AVS/target-bench’s past year of commit activity - iKCE Public
iKCE: diagnosing kinematic-vs-dynamic imagination in latent world models (RSS 2026 World Model Workshop)
TUM-AVS/iKCE’s past year of commit activity - FM-AD-Survey Public
This repository collects research papers of large Foundation Models for Scenario Generation and Analysis in Autonomous Driving. The repository will be continuously updated to track the latest update.
TUM-AVS/FM-AD-Survey’s past year of commit activity - EgoDyn-Bench Public
Official Repository for EgoDyn-Bench: Evaluating Ego-Motion Understanding in Vision-Centric Foundation Models for Autonomous Driving
TUM-AVS/EgoDyn-Bench’s past year of commit activity - A2RL_Dataset_website Public
TUM-AVS/A2RL_Dataset_website’s past year of commit activity - Frenetix-Autoware-Prototype Public
TUM-AVS/Frenetix-Autoware-Prototype’s past year of commit activity - ICRA2026_Drifting_in_the_future Public
Additional Material to the manuscript "Drifting in the Future: Stabilizing Path Following Drifting on High-Latency Vehicle Systems"
TUM-AVS/ICRA2026_Drifting_in_the_future’s past year of commit activity - ICRA2026_Workshop Public
TUM-AVS/ICRA2026_Workshop’s past year of commit activity
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