Daniel Dauner
danieldauner.bsky.social
Daniel Dauner
@danieldauner.bsky.social
https://danieldauner.github.io/
PhD Student at the University of Tübingen, supervised by Andreas Geiger. I work on autonomous driving.
Pinned
Back in 2023, I worked on rule-based planning for the nuPlan challenge and was skeptical that learned methods could do well on this benchmark. Turns out, RL is the answer. The CaRL code is out now. Also check out this 2h+ demo video of our policy: youtu.be/_godUKkICec
Reposted by Daniel Dauner
Attending #Neurips2025? Get your personalized Scholar Inbox conference program now to easily navigate the poster sessions and find what you are looking for:
www.scholar-inbox.com/conference/n...
December 2, 2025 at 6:37 AM
Reposted by Daniel Dauner
Scholar Inbox for NeurIPS is live now.
December 1, 2025 at 7:44 PM
Reposted by Daniel Dauner
Launching the Physical AI AV Dataset! 🚀

huggingface.co/datasets/nvi...

One of the largest, most diverse & commercially usable open-source datasets for AVs.
- 1727 hours of driving data
- Camera, LiDAR, & radar
- 25 countries, 2500+ cities

This is just the beginning, more features to come!
October 28, 2025 at 5:59 PM
Reposted by Daniel Dauner
Congratulations to our PhD student @takerumiyato.bsky.social for winning the Google PhD Fellowship in the category "Machine Learning and ML Foundations". Takeru is pioneering new neural architectures that improve generalization and efficiency. Check out his research: takerum.github.io
Takeru Miyato - AI Research Scientist
PhD student at University of Tübingen working on artificial intelligence, machine learning, and deep learning research.
takerum.github.io
October 24, 2025 at 7:37 AM
Reposted by Daniel Dauner
🚗 Join us for the RealADSim Workshop @ ICCV 2025!
🗓 Oct 19 morning | 📍 Hawaii Conv. Center, 305A
Featuring exciting talks and winner presentations from our challenges (70+ regs, ~30 subs). Don’t miss it! 🎉
#ICCV2025
October 19, 2025 at 6:13 AM
Reposted by Daniel Dauner
Announcing the @iccv.bsky.social NAVSIM Challenge! What's new? We're testing not only on real recordings, but also perturbed futures generated from the real ones via pseudo-simulation! $8K in prizes + several $1.5k travel grants. Submit by September 20! opendrivelab.com/challenge2025/ 🧵👇
September 1, 2025 at 9:14 AM
Reposted by Daniel Dauner
NeurIPS PCs: Borderline Reject: "Please use sparingly"
NeurIPS reviewers: BR go BR BR BR BR BR BR
August 12, 2025 at 9:43 AM
Reposted by Daniel Dauner
One concern that I have as an AI researcher when publishing code is that it can potentially be used in dual-use applications.
To solve this, we propose Civil Software Licenses. They prevent dual-use while being minimal in the restrictions they impose:

civil-software-licenses.github.io
Civil Software Licenses
civil-software-licenses.github.io
July 31, 2025 at 5:36 PM
Reposted by Daniel Dauner
New YouTube playlist category is Relaxing self-driving agents to vibe to
July 15, 2025 at 6:55 PM
Reposted by Daniel Dauner
We have released the code for our work, CaRL: Learning Scalable Planning Policies with Simple Rewards.

The repository contains the first public code base for training RL agents with the CARLA leaderboard 2.0 and nuPlan.

github.com/autonomousvi...
GitHub - autonomousvision/CaRL: [ArXiv 2025] CaRL: Learning Scalable Planning Policies with Simple Rewards
[ArXiv 2025] CaRL: Learning Scalable Planning Policies with Simple Rewards - autonomousvision/CaRL
github.com
July 15, 2025 at 4:05 PM
Back in 2023, I worked on rule-based planning for the nuPlan challenge and was skeptical that learned methods could do well on this benchmark. Turns out, RL is the answer. The CaRL code is out now. Also check out this 2h+ demo video of our policy: youtu.be/_godUKkICec
July 15, 2025 at 4:39 PM
Reposted by Daniel Dauner
In case you find it as relaxing as we do: Here is a 2h+ video of our autonomous RL driving agent CaRL in action! @danieldauner.bsky.social @bernhard-jaeger.bsky.social @kashyap7x.bsky.social
youtube.com/watch?v=_god...
CaRL: Learning Scalable Planning Policies with Simple Rewards
YouTube video by Daniel Dauner
youtube.com
July 15, 2025 at 6:17 AM
Reposted by Daniel Dauner
Christina's new work PrITTI generates high-quality, controllable 3D semantic urban scenes in a compact primitive-based representation using a latent diffusion model. This enables applications like scene editing, inpainting, and photo-realistic street view synthesis!
raniatze.github.io/pritti/
June 25, 2025 at 11:23 AM
Reposted by Daniel Dauner
The 2025 Waymo Challenge results are out! We achieved second place in the End-to-End Driving Challenge with DiffusionLTF and third place in the Scenario Generation Challenge with SHRED. Our approaches prioritized simplicity, and we're preparing to make them publicly available soon.
June 17, 2025 at 9:36 PM
Reposted by Daniel Dauner
🚗 Pseudo-simulation combines the efficiency of open-loop and robustness of closed-loop evaluation. It uses real data + 3D Gaussian Splatting synthetic views to assess error recovery, achieving strong correlation with closed-loop simulations while requiring 6x less compute. arxiv.org/abs/2506.04218
June 5, 2025 at 4:21 AM
Reposted by Daniel Dauner
EMPERROR is a new generative perception error model for probing self-driving planners. It imitates modern 3D detectors, maintains temporal consistency, and reveals brittleness in IL-based planning - raising collision rates by up to 85%! #RA_L #robotics #AI - lasnik.github.io/emperror/
May 16, 2025 at 1:54 PM
Reposted by Daniel Dauner
📣 Excited to share our #CVPR2025 Spotlight paper and my internship project @wayve: SimLingo.
A Vision-Language-Action (VLA) model that achieves state-of-the-art driving performance with language capabilities.

Code: github.com/RenzKa/simli...
Paper: arxiv.org/abs/2503.09594
May 8, 2025 at 3:25 PM
I've always found the default Alt+Tab behavior in Ubuntu frustrating. Recently, I discovered this plugin for GNOME distros. Personally, it’s a game changer and enables switching windows specific to the application, monitor, and workspaces. Highly recommend!
github.com/G-dH/advance...
GitHub - G-dH/advanced-alttab-window-switcher: A highly customizable replacement for Gnome Shell's Alt-Tab window and app switchers.
A highly customizable replacement for Gnome Shell's Alt-Tab window and app switchers. - G-dH/advanced-alttab-window-switcher
github.com
May 8, 2025 at 7:43 AM
Reposted by Daniel Dauner
📢 New paper CVPR 25!
Can meshes capture fuzzy geometry? Volumetric Surfaces uses adaptive textured shells to model hair, fur without the splatting / volume overhead. It’s fast, looks great, and runs in real time even on budget phones.
🔗 autonomousvision.github.io/volsurfs/
📄 arxiv.org/pdf/2409.02482
May 5, 2025 at 1:00 PM
Reposted by Daniel Dauner
Waited to finish reading it but I wanted to highlight the nice reward design here, which alleviates many of the failures of reward shaping
April 28, 2025 at 10:16 PM
Reposted by Daniel Dauner
Introducing CaRL: Learning Scalable Planning Policies with Simple Rewards
We show how simple rewards enable scaling up PPO for planning.
CaRL outperforms all prior learning-based approaches on nuPlan Val14 and CARLA longest6 v2, using less inference compute.
arxiv.org/abs/2504.17838
April 28, 2025 at 3:17 PM
Reposted by Daniel Dauner
⏰ Heads up! The deadline for two #CVPR2025 Autonomous Grand Challenge tracks is May 10th, 2025:

1️⃣ NAVSIM v2 Challenge: huggingface.co/spaces/AGC20...

2️⃣ World Model Challenge by 1X: huggingface.co/spaces/1x-te...
April 28, 2025 at 9:41 AM
Reposted by Daniel Dauner
🚀 Never miss a beat in science again!

📬 Scholar Inbox is your personal assistant for staying up to date with your literature. It includes: visual summaries, collections, search and a conference planner.

Check out our white paper: arxiv.org/abs/2504.08385
#OpenScience #AI #RecommenderSystems
April 14, 2025 at 11:04 AM
Reposted by Daniel Dauner
Announcing the 2025 NAVSIM Challenge! What's new? We're testing not only on real recordings—but also imaginary futures generated from the real ones! 🤯

Two rounds: #CVPR2025 and #ICCV2025. $18K in prizes + several $1.5k travel grants. Submit in May for Round 1! opendrivelab.com/challenge2025/ 🧵👇
April 13, 2025 at 11:08 AM