Developer shares end-to-end pipeline for turning a single driving log into an OpenUSD simulation scene
What happened
Reddit user /u/AgilePainting931 says they used a 20-second driving log (7 cameras plus a roof-mounted LiDAR) from NVIDIA's public PhysicalAI AV dataset to build an end-to-end pipeline that generates simulation-ready OpenUSD scenes from real vehicle data, and is seeking directional feedback from practitioners in simulation, robotics and 3DGS. The developer states that the output is a "visually similar generated artifact, not a reconstruction," and that their own work focuses on pipeline integration, quality checks, frame alignment, variants, physics and validation, rather than a new reconstruction method. They also say they hope to turn this pipeline into a real-to-sim service.
AI 根据报道生成 · 7 days ago更新
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- Reddit r/roboticsBuilding an OpenUSD simulation scene from a recorded drive: real-to-sim pipeline with multi-camera and LiDAR seeks feedback
A developer used a 20-second driving record with 7 cameras and a roof-mounted LiDAR from NVIDIA's public PhysicalAI AV dataset to build an end-to-end runnable real-to-sim pipeline.
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