构建首个融合交通规则的高精地图基准数据集，助力自动驾驶合规导航。
Driving by the Rules: A Benchmark for Integrating Traffic Sign Regulations into Vectorized HD Map
- 基于1万+视频片段，提取交通标志与车道的规则关联
- 提出两种端到端方案，实现规则与地图的实时融合
- 适合自动驾驶地图构建与法规感知研究者
确保遵守交通标志规则对人类和自动驾驶车辆导航至关重要。当前在线地图系统多侧重于高精地图的几何与连通性层构建，忽视了交通规则层的建立。为填补这一空白，我们提出MapDR——一个用于从交通标志中提取驾驶规则并将其与矢量化局部感知高精地图关联的新数据集。MapDR包含超过10,000个标注视频片段，捕捉了交通标志规则与车道之间的复杂关联。基于该基准及新定义的将交通规则集成至在线高精地图的任务，我们提供了模块化与端到端解决方案：VLE-MEE与RuleVLM，为推进自动驾驶技术提供强基线。该工作填补了交通标志规则集成的关键空白，有助于发展可靠自动驾驶系统。代码已开源：https://github.com/MIV-XJTU/MapDR。
原文摘要 · Abstract (English)
Ensuring adherence to traffic sign regulations is essential for both human and autonomous vehicle navigation. While current online mapping solutions often prioritize the construction of the geometric and connectivity layers of HD maps, overlooking the construction of the traffic regulation layer within HD maps. Addressing this gap, we introduce MapDR, a novel dataset designed for the extraction of Driving Rules from traffic signs and their association with vectorized, locally perceived HD Maps. MapDR features over $10,000$ annotated video clips that capture the intricate correlation between traffic sign regulations and 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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