论文标题
从卫星图像中提取车道边界几何形状
Lane Boundary Geometry Extraction from Satellite Imagery
论文作者
论文摘要
作为关键组成部分，高清（HD）地图在市场和行业中均具有价值。即使从LiDar或立体声/透视图像中产生高清地图的生成已经取得了令人印象深刻的成功，但其固有的缺陷也不能忽略。在本文中，我们提出了一种新的方法，用于在卫星图像上使用像素式分割和形式化的假设链接的高速公路高清图建模，该方法比从LIDAR Point Cloud和Poartpective View Imainery中的当前HD MAPS建模方法便宜，更快，并使其成为艺术艺术的理想互补状态。我们还将手动代码/标记高清路线模型数据集作为地面真理，与Bing Tile Image Server保持一致，以训练，测试和评估我们的方法。该数据集将同时发布，以从空中图像中进行HD地图建模进行研究。
Autonomous driving car is becoming more of a reality, as a key component,high-definition(HD) maps shows its value in both market place and industry. Even though HD maps generation from LiDAR or stereo/perspective imagery has achieved impressive success, its inherent defects cannot be ignored. In this paper, we proposal a novel method for Highway HD maps modeling using pixel-wise segmentation on satellite imagery and formalized hypotheses linking, which is cheaper and faster than current HD maps modeling approaches from LiDAR point cloud and perspective view imagery, and let it becomes an ideal complementary of state of the art. We also manual code/label an HD road model dataset as ground truth, aligned with Bing tile image server, to train, test and evaluate our methodology. This dataset will be publish at same time to contribute research in HD maps modeling from aerial imagery.
