Driving by the Rules: A Benchmark for Integrating Traffic Sign Regulations into Vectorized HD Map
Xinyuan Chang, Maixuan Xue, Xinran Liu, Zheng Pan, Xing Wei
2025Year
6Top-tier citations
Abstract
lanes. Built upon this benchmark and the newly defined task of integrating traffic regulations into online HD maps, we provide modular and end-to-end solutions: VLE-MEE and RuleVLM, offering a strong baseline for advancing autonomous driving technology. It fills a critical gap in the integration of traffic sign rules, contributing to the development of reliable autonomous driving systems. Code is available at https://github.com/MIV-XJTU/MapDR .
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- FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous DrivingShuang Zeng, Xinyuan Chang, Mengwei Xie, Xinran Liu et al.NeurIPS 2025 · 228 citations
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- Persistent Autoregressive Mapping with Traffic Rules for Autonomous DrivingShiyi Liang, Xinyuan Chang, Changjie Wu, Huiyuan Yan et al.AAAI 2026 · 7 citations
- SeqGrowGraph: Learning Lane Topology as a Chain of Graph ExpansionsMengwei Xie, Shuang Zeng, Xinyuan Chang, Xinran Liu et al.ICCV 2025 · 1 citation
- Piercing the Fog: Disentangling Key Features for Vision Models in Multi-Degradation ScenariosSiyu Chen, Shiqiang Ma, Fei GuoAAAI 2026
Builds on24
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- Visual Instruction TuningHaotian Liu, Chunyuan Li, Qingyang Wu, Yong Jae LeeNeurIPS 2023 · 11,349 citations
- Training data-efficient image transformers & distillation through attentionHugo Touvron, Matthieu Cord, Matthijs Douze, Francisco Massa et al.ICML 2021 · 8,974 citations
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