论文标题
将语义细分应用于雪环境中的自动驾驶汽车
Applying Semantic Segmentation to Autonomous Cars in the Snowy Environment
论文作者
论文摘要
本文主要关注雪态情况下的环境感知，这构成了自主驾驶技术的骨干。出于这个目的，使用语义分割来自动驱动车辆时对物体进行分类。我们在自己的数据集上训练完全卷积网络（FCN），并提出实验结果。最后，分析结果以得出结论。可以得出结论，数据库仍然需要优化，并应提出有利的算法以获得更好的结果。
This paper mainly focuses on environment perception in snowy situations which forms the backbone of the autonomous driving technology. For the purpose, semantic segmentation is employed to classify the objects while the vehicle is driven autonomously. We train the Fully Convolutional Networks (FCN) on our own dataset and present the experimental results. Finally, the outcomes are analyzed to give a conclusion. It can be concluded that the database still needs to be optimized and a favorable algorithm should be proposed to get better results.
