Just 10 days to go! Join our elite IMPRS-IS doctoral program - a partnership with MPI-IS, @uni_stuttgart & Universität Tübingen! Apply here: imprs.is.mpg.de/applicationApp… Deadline to apply: November 15, 2024

We have just released a new tool to create custom routes and insert scenarios for the CARLA Leaderboard 2.0. The tool was written by our great research assistant Jens Beißwenger 🥳 Github: github.com/autonomousvisi… #CARLA #AutonomousDriving

In my first research project I was super excited about getting any stars on GitHub. Now having a project with 1k stars feels unreal🤯 wouldn’t have been possible without the tremendous effort of Chonghao Sima during the main project and afterwards with the challenge 🙏🏼

Introducing GAIA-2 🌎Generative world modeling just stepped up a gear. GAIA-2 is the latest development of Wayve’s video-generative world model tailored for driving. GAIA-2 offers richer, more realistic, and highly controllable synthetic driving scenarios, accelerating Wayve’s

1 year since we launched LINGO-2 Wayve 🧠 With LINGO-2, our AI is trained to both make decisions *and* communicate them. The first closed-loop vision-language-action driving model (VLAM) tested on public roads, LINGO-2 has been game-changing for exploring the connection

We got a robot to clean up homes that were never seen in its training data! Our new model, π-0.5, aims to tackle open-world generalization. We took our robot into homes that were not in the training data and asked it to clean kitchens and bedrooms. More below⤵️

Introducing CaRL: Learning Scalable Planning Policies with Simple Rewards We show how simple rewards enable scaling up PPO for planning. CaRL outperforms prior learning-based approaches on nuPlan Val14 and CARLA longest6 v2, using less inference compute. arxiv.org/abs/2504.17838

📢 New paper #CVPR2025! Can meshes capture fuzzy geometry? Volumetric Surfaces uses adaptive textured shells to model hair + fur. It’s fast, looks great, and runs in real time even on budget phones. 🔗 autonomousvision.github.io/volsurfs/ 📄 arxiv.org/pdf/2409.02482

Just happened to know that DriveLM ranked #9 on the Most Influential ECCV Papers (2024-09 Version). Thorough benchmarking on driving with VLM gains it popularity! paperdigest.org/2024/09/most-i…

Only a few days to go until #CVPR2025 kicks off 🤩 This year, we’re excited to share our research paper #SIMLINGO — a foundation model that brings together vision, language, and action to power more generalizable, interpretable embodied agents. 🚗🗣️👀 Come find us at booth 1429

📢Excited to present our poster "SimLingo" tomorrow at #CVPR2025. Drop by to talk about vision-language-action models, language-action grounding, or anything else :) 📍Saturday, 10:30 - 12:30 Poster #130 Joint work with Long Chen Elahe Arani Oleg Sinavski Wayve

Eye-candy posters of #cvpr2025 #startikz

#CVPR2025 Paper Picks #3 🚗 SimLingo: Vision-Language-Action for autonomous driving by Katrin Renz et al. Wayve Autonomous driving meets language grounding. SimLingo drives and understands — using only cameras. No LiDAR. No diffusion. Just vision, language, and action.