A framework for unified end-to-end autonomous driving datasets processing
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Updated
Jul 12, 2026 - Jupyter Notebook
A framework for unified end-to-end autonomous driving datasets processing
AV2 Scenario Mining Challenge on CVPR Workshop 2026
Interactive 3D visualization and debugging tool for multi-object tracking across autonomous driving datasets — using a universal scene format for LiDAR, cameras, GT/tracker comparison, and MOT diagnostics.
Cross-View Semantic Injection and Sparse Dual-Path Token Mixer for 3-D Object Detection. RV-SDTM implementation on OpenPCDet for Waymo, nuScenes, and Argoverse 2.
Traceable ADAS/AD scenario mining from vehicle signals to actor ranking, constrained LLM reasoning, and semantic retrieval.
Argoverse 2-style trajectory forecasting project comparing Linear, LSTM, Transformer, and Diffusion models.
Render, score, and compare Argoverse 2 driving scenes — annotated MP4s and per-city complexity graphs from a local Flask app.
HypoTrack-MF: evidence-gated cross-frame mode alignment for continuous motion forecasting
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