论文标题
评估美国运输部车道级地图的互联车辆申请
Assessment of U.S. Department of Transportation Lane-Level Map for Connected Vehicle Applications
论文作者
论文摘要
高清（HI-DEF）数字地图是一种不可或缺的自动驾驶技术，正在迅速发展。市场上有各种商业或政府地图产品。值得注意的是，美国运输部（USDOT）地图工具允许用户使用免费访问创建地图，信号阶段和时机（SPAT）消息。但是，目前对该地图工具的准确性进行了分析。本文提供了这样的分析。该分析手动选择了验证点约200米内的39个特征点，在距验证点更长的距离内55个特征点。使用GNSS对所有特征位置进行调查，并使用USDOT工具进行映射。评估不同的错误源以评估USDOT地图准确性。在这项研究中，证明了USDOT MAP工具可以达到17厘米的水平准确性，该水平准确性满足车道级地图的需求。最大水平地图误差小于30厘米。
High-definition (Hi-Def) digital maps are an indispensable automated driving technology that is developing rapidly. There are various commercial or governmental map products in the market. It is notable that the U.S. Department of Transportation (USDOT) map tool allows the user to create MAP and Signal Phase and Timing (SPaT) messages with free access. However, an analysis of the accuracy of this map tool is currently lacking in the literature. This paper provides such an analysis. The analysis manually selects 39 feature points within about 200 meters of the verified point and 55 feature points over longer distances from the verified point. All feature locations are surveyed using GNSS and mapped using the USDOT tool. Different error sources are evaluated to allow assessment of the USDOT map accuracy. In this investigation, The USDOT map tool is demonstrated to achieve 17 centimeters horizontal accuracy, which meets the lane-level map requirement. The maximum horizontal map error is less than 30 centimeters.
