- Munich
-
13:41
(UTC +02:00) - https://www.mos.ed.tum.de/en/avs/team/christian-oefinger/
- https://orcid.org/0009-0009-1261-2315
Highlights
- Pro
Stars
Overview of installed Claude skill suites (research, figures, diagrams)
Conversion tool for Autoware lanelet2 and ASAM OpenDRIVE
A framework for unified end-to-end autonomous driving datasets processing
NVIDIA OmniDreams is a world model that generates photorealistic video for autonomous-driving simulation in real time.
InstantNuRec: Feed-Forward 3D Gaussian Reconstruction from Driving Logs
An open-source AI agent that brings the power of Gemini directly into your terminal.
🚗 This repository offers a ready-to-use training and evaluation environment for conducting various experiments using Deep Reinforcement Learning (DRL) in the CARLA simulator with the help of Stable…
[CVPR 2025, Spotlight] SimLingo (CarLLava): Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment
Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini C…
Repo of "Drive-JEPA: Video JEPA Meets Multimodal Trajectory Distillation for End-to-End Driving"
(ICLR2025) Enhancing End-to-End Autonomous Driving with Latent World Model
CLOVER, a Closed-LOop Value Estimation and Ranking framework for end-to-end driving planning.
An open-source End-to-End AI model for self driving
CARLA Autonomous Driving leaderboard
Pre-indexed code knowledge graph, auto syncs on code changes, for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, and Hermes Agent — fewer tokens, fewer tool calls, 100% local
(CoRL 2019) Driving in CARLA using waypoint prediction and two-stage imitation learning
Curated list of data science interview questions and answers
[ICCV'23] Hidden Biases of End-to-End Driving Models & A starter kit for the CARLA leaderboard 2.0.
tier4 / carla-autoware-native
Forked from carla-simulator/carlaOpen-source simulator for autonomous driving research.
Production-grade engineering skills for AI coding agents.
Asset Harvester: Extracting 3D Assets from Autonomous Driving Logs for Simulation
MVAdapt: Multi-Vehicle Adaptation for End-to-end Autonomous Driving AI
BEVFormer, UniAD, VAD in Closed-Loop CARLA Evaluation with World Model RL Expert Think2Drive
[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving