基于车道存储顺序的高精地图无损水印算法  

Lossless Watermarking Algorithm for High-Precision Maps Based on Lane Storage Order

作　　者：吴辉 张旭 WU Hui;ZHANG Xu(Natural Resources Big Data Center of Shaoxing City,Shaoxing 312000;Changjiang Wuhu Waterway Division,Wuhu 241000,China)

机构地区：[1]绍兴市自然资源大数据中心,浙江绍兴312000 [2]长江芜湖航道处,安徽芜湖241000

出　　处：《地理与地理信息科学》2024年第6期16-20,158,共6页Geography and Geo-Information Science

摘　　要：高精地图对推动自动驾驶发展具有关键作用,其安全和版权保护问题不容忽视。该文基于车道存储顺序,提出一种适用于高精地图的无损数字水印算法。首先,利用车道存储顺序变换不影响数据精度的特点,建立车道存储关系与水印比特的映射关系;然后,对高精地图要素间的连通关系进行分类,以此对车道进行分类分组并建立其与水印索引的映射关系;最后,利用车道的存储特征与连通关系获取水印比特与水印索引并实现水印嵌入。以OpenDRIVE地图数据作为实验数据进行算法验证,结果表明,该算法既能完全实现高精地图数据精度无损,又能较好地抵抗平移、旋转、缩放和裁剪等攻击,算法鲁棒性强,可为高精地图安全和版权保护提供可靠的技术支撑。As an important infrastructure for autonomous driving,high-precision maps play a crucial role in promoting the development of autonomous driving.Their high precision and commercial value also make the security and copyright issues of high-precision maps in sharing undeniable.This paper proposes a lossless digital watermarking algorithm suitable for high-precision maps based on the order of lane storage.Firstly,by utilizing the characteristic that lane storage order transformation does not affect data accuracy,a mapping relationship between lane storage and watermark bits is established.Then,the connectivity relationships between high-precision map elements are classified to group the lanes and establish their mapping relationship with the watermark index.Finally,the storage features and connectivity of the lanes are utilized to obtain watermark bits and watermark indexes for the watermark embedding.Using OpenDRIVE map data as experimental data for algorithm verification,the results show that the algorithm can fully achieve the lossless accuracy of high-precision maps,and can resist attacks such as translation,rotation,scaling,and cropping.It has good robustness and can provide reliable technical support for copyright protection of high-precision maps.

关 键 词：高精地图 无损水印 鲁棒性 存储特征 

分 类 号：P208[天文地球—地图制图学与地理信息工程] TP309.7[天文地球—测绘科学与技术]