argoverse2

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.

Argoverse 2-style trajectory forecasting project comparing Linear, LSTM, Transformer, and Diffusion models.

Traceable ADAS/AD scenario mining from vehicle signals to actor ranking, constrained LLM reasoning, and semantic retrieval.

Render, score, and compare Argoverse 2 driving scenes — annotated MP4s and per-city complexity graphs from a local Flask app.

PyTorch implementation of a Multimodal Mamba Forecaster for vehicle trajectory prediction. Explores Selective State Space Models (SSMs) using the Argoverse 2 dataset.

HypoTrack-MF: evidence-gated cross-frame mode alignment for continuous motion forecasting