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@TUM-AVS

TUM - Autonomous Vehicle Systems Lab

The main research at the Professorship Autonomous Vehicle Systems focusing on generating the next generation of intelligent autonomous vehicles

Welcome to the Autonomous Vehicle Sysems (AVS) Lab
at the Technical University of Munich (TUM)! 👋


 

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.

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  1. Frenetix-Motion-Planner Frenetix-Motion-Planner Public

    Python 108 14

  2. Frenetix-RL Frenetix-RL Public

    Reinforcment Learning accelerated Motion Planning Algorithm based on Frenetix and Frenetix_Motion_Planner

    Python 66 8

  3. edgar_digital_twin edgar_digital_twin Public

    Forked from TUMFTM/edgar_digital_twin

    Python 37 2

  4. DualAD DualAD Public

    DualAD: Dual-Layer Planning for Reasoning in Autonomous Driving

    Python 34 4

  5. RoboRacer-3DLiDAR RoboRacer-3DLiDAR Public

    This repository contains the drivers to directly include the Livox MID-360 into the existing RoboRacer/ former F1Tenth stack.

    C++ 65 7

  6. FM-AD-Survey 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.

    36 2

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