SceneFactory-3D: Lifting 2D Traffic Scenes into 3D Physical Counterfactuals for Scalable Physically Grounded Safety Evaluation
cs.RO, cs.MA
Submitted: 2026-10-02
Updated: 2026-10-13
Code: https://github.com/SmallWorldLab/SceneFactory_3D
Project page: https://isaac-sim.github.io/IsaacLab/release
Sources
- NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles
- muSync-GS: Physics-Synchronized Driving Video Synthesis for Weather and Geometric Road Hazards
- Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research
- MultiDrive: A Co-Simulation Framework Bridging 2D and 3D Driving Simulation for AV Software Validation
- GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS
- Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning
- Proximal Policy Optimization Algorithms
- Congested Traffic States in Empirical Observations and Microscopic Simulations
- SceneFactory: GPU-Accelerated Multi-Agent Driving Simulation with Physics-Based Vehicle Dynamics
Related papers
- FMT x: An Efficient and Asymptotically Optimal Extension of the Fast Marching Tree for Dynamic Replanning
- MPCFormer: A physics-informed data-driven approach for explainable socially-aware autonomous driving
- RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies
- ARC: A Reasoning Recipe for Robot Foundation Models
- HRDexDB: A 4D Dexterous Grasping Dataset Across Human and Multiple Robot Embodiments
- APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies