Kashyap Chitta
@kashyap7x.bsky.social
kashyap7x.github.io
Postdoc at NVIDIA. Previously at the University of Tübingen and CMU. Robot Learning, Autonomous Driving.
Postdoc at NVIDIA. Previously at the University of Tübingen and CMU. Robot Learning, Autonomous Driving.
Also comes with a license that permits commercial use and an ecosystem of related datasets like huggingface.co/datasets/nvi..., which ideally keeps growing with community contributions
nvidia/PhysicalAI-Autonomous-Vehicles-NuRec · Datasets at Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
huggingface.co
October 28, 2025 at 9:07 PM
Also comes with a license that permits commercial use and an ecosystem of related datasets like huggingface.co/datasets/nvi..., which ideally keeps growing with community contributions
We provide multimodal data (7 cameras, lidar, up to 10 radars) and labels (egomotion, metadata + object tracks and road elements coming soon) instead of just front view video. OpenDV is long, highly correlated drives (can be hours long), whereas this dataset is diverse 20 second clips.
October 28, 2025 at 9:02 PM
We provide multimodal data (7 cameras, lidar, up to 10 radars) and labels (egomotion, metadata + object tracks and road elements coming soon) instead of just front view video. OpenDV is long, highly correlated drives (can be hours long), whereas this dataset is diverse 20 second clips.
Your score depends on:
1️⃣ Performance on real frames
2️⃣ Performance on "nearest" perturbed futures to your model's past outputs,
making this the *first* challenge testing robustness against causal confusion and compounding errors on real driving data 🚗
Get started here: github.com/autonomousvi...
1️⃣ Performance on real frames
2️⃣ Performance on "nearest" perturbed futures to your model's past outputs,
making this the *first* challenge testing robustness against causal confusion and compounding errors on real driving data 🚗
Get started here: github.com/autonomousvi...
GitHub - autonomousvision/navsim: [CoRL '25] Pseudo-Simulation for Autonomous Driving; [NeurIPS '24] NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
[CoRL '25] Pseudo-Simulation for Autonomous Driving; [NeurIPS '24] NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking - autonomousvision/navsim
github.com
September 1, 2025 at 9:14 AM
Your score depends on:
1️⃣ Performance on real frames
2️⃣ Performance on "nearest" perturbed futures to your model's past outputs,
making this the *first* challenge testing robustness against causal confusion and compounding errors on real driving data 🚗
Get started here: github.com/autonomousvi...
1️⃣ Performance on real frames
2️⃣ Performance on "nearest" perturbed futures to your model's past outputs,
making this the *first* challenge testing robustness against causal confusion and compounding errors on real driving data 🚗
Get started here: github.com/autonomousvi...