论文标题
具有深度学习的高清图的自动建筑和标签
Automatic Building and Labeling of HD Maps with Deep Learning
论文作者
论文摘要
在一个自动驾驶汽车变得越来越普遍的世界中，为这项新技术创建适当的基础设施至关重要。这包括精确有效地构建和标记高清（HD）地图。如今，创建高清地图的过程需要大量的人类投入，这需要时间，并且容易出现错误。在本文中，我们提出了一种能够从原始传感器数据中生成标记的HD图的新方法。我们使用从测试工具收集的数据对几个城市场景实施并测试了我们的方法。结果表明，基于深度学习的方法可以产生高度准确的HD图。这种方法加快了建造和标记高清图的过程，这可以为自动驾驶汽车的部署做出有意义的贡献。
In a world where autonomous driving cars are becoming increasingly more common, creating an adequate infrastructure for this new technology is essential. This includes building and labeling high-definition (HD) maps accurately and efficiently. Today, the process of creating HD maps requires a lot of human input, which takes time and is prone to errors. In this paper, we propose a novel method capable of generating labelled HD maps from raw sensor data. We implemented and tested our methods on several urban scenarios using data collected from our test vehicle. The results show that the pro-posed deep learning based method can produce highly accurate HD maps. This approach speeds up the process of building and labeling HD maps, which can make meaningful contribution to the deployment of autonomous vehicle.
