Autonomous
PhysicalAI-Autonomous-Vehicles
PHYSICAL AI AUTONOMOUS VEHICLES
The PhysicalAI-Autonomous-Vehicles dataset provides one of the largest, geographically diverse collections of multi-sensor data empowering AV researchers to build the next generation of Physical AI based end-to-end driving systems. This dataset is ready for commercial/non-commercial AV use per the license agreement.
Data Collection Method
Automatic/Sensor
Labeling Method
Automatic/Sensor
This dataset has a total of 1700 hours of driving… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/PhysicalAI-Autonomous-Vehicles.resultsPhysicalAI-WorldModel-Synthetic-Autonomous-Driving-Scenarios
Dataset Description:
PhysicalAI-WorldModel-Synthetic-Autonomous-Driving-Scenarios is a large-scale synthetic video dataset of autonomous-driving scenes generated with NVIDIA's internal Omniverse simulation platform. Each clip is a temporally consistent multi-camera surround capture of one ego vehicle and surrounding traffic participants, paired with per-camera VLM captions. The dataset is designed to fill gaps in real-world driving data along two axes: (1) targeted long-tail… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/PhysicalAI-WorldModel-Synthetic-Autonomous-Driving-Scenarios.PhysicalAI-Autonomous-Vehicles-NuRec
task_categories:
- robotics
tags:
- physicalAI
Find the 1500+ scenes in the sample_set/26.04_release folder.
Dataset Description:
Neural reconstructed dataset that carries 3D reconstructed driving scenes. The scenes are about 20 second long and stored in form of usdz files, along with respective xodr map files, surface mesh. The reconstructions were generated using 6 camera views (front-wide 120 deg, front-tele 30 deg, cross right/left 120 deg and rear right/left… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/PhysicalAI-Autonomous-Vehicles-NuRec.PhysicalAI-Autonomous-Vehicle-Cosmos-Drive-Dreams
PhysicalAI-Autonomous-Vehicle-Cosmos-Drive-Dreams
Paper | Paper Website | GitHub
Download
We provide a download script to download our dataset. If you have enough space, you can use git to download a dataset from huggingface.
usage: download.py [-h] --odir ODIR
[--file_types {hdmap,lidar,synthetic}[,…]]
[--workers N] [--clean_cache]
required arguments:
--odir ODIR Output… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/PhysicalAI-Autonomous-Vehicle-Cosmos-Drive-Dreams.PhysicalAI-Autonomous-Vehicles-NCore
PhysicalAI Autonomous Vehicles - NCore
A subset of ~1.1k clips from the PhysicalAI-Autonomous-Vehicles (PAI-AV)
dataset, converted to NCore format
using the PAI data converter.
The subset contains clips that expose accurate offline calibration,
egomotion, and cuboid labels.
Source Dataset
PhysicalAI-Autonomous-Vehicles
contains 306,152 clips (1,700 hours) of multi-sensor driving data
collected across 25 countries. See the source dataset card for full details
on… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/PhysicalAI-Autonomous-Vehicles-NCore.