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arXiv · 2606.09180

Claude Code-Driving Scenario Mining for the Argoverse 2 Challenge

Wei Deng·Caoshengzhe Xue·Shuaikun Liu·Zhaohong Liu·Mengshi Qi·Huadong Ma
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Abstract

We present our submission to the CVPR 2026 Argoverse 2 Scenario Mining Challenge. Our system uses a four-stage pipeline: (1) autonomous code generation via a Claude Code agent powered by GLM~5.1, (2) iterative training set screening with Timestamp Balanced Accuracy threshold 0.8 to curate few-shot examples, (3) semantic code review by a separate Claude Code session, and (4) Qwen3-VL scene-level verification to filter false positives. We report results on the Argoverse 2 test set.

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Wei Deng, Caoshengzhe Xue, Shuaikun Liu, Zhaohong Liu, Mengshi Qi, Huadong Ma. 2026-06-08. Claude Code-Driving Scenario Mining for the Argoverse 2 Challenge. https://arxiv.org/abs/2606.09180

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