27 citations · 46 across the 7 of their papers we have counts for
3 papers · 1 filter
WayveScenes101: A Dataset and Benchmark for Novel View Synthesis in Autonomous Driving
Jannik Zürn, Paul Gladkov, Sofía Dudas +5
We present WayveScenes101, a dataset designed to help the community advance the state of the art in novel view synthesis that focuses on challenging driving scenes containing many…
CarLLaVA: Vision language models for camera-only closed-loop driving
Katrin Renz, Long Chen, Ana-Maria Marcu +6
In this technical report, we present CarLLaVA, a Vision Language Model (VLM) for autonomous driving, developed for the CARLA Autonomous Driving Challenge 2.0. CarLLaVA uses the vis…
LangProp: A code optimization framework using Large Language Models applied to driving
Shu Ishida, Gianluca Corrado, George Fedoseev +5
We propose LangProp, a framework for iteratively optimizing code generated by large language models (LLMs), in both supervised and reinforcement learning settings. While LLMs can g…