论文标题
自动驾驶的语义视频细分
Semantic video segmentation for autonomous driving
论文作者
论文摘要
我们旨在使用（Shelhamer等，2016a）中讨论的技术来解决自主驾驶中的语义视频细分，即实时视频中的道路检测。尽管完全卷积的网络可取得良好的结果，但我们表明速度可以在保持准确性的同时减半。使用的测试数据集是Kitti，它由来自德国街道的真实录像组成。
We aim to solve semantic video segmentation in autonomous driving, namely road detection in real time video, using techniques discussed in (Shelhamer et al., 2016a). While fully convolutional network gives good result, we show that the speed can be halved while preserving the accuracy. The test dataset being used is KITTI, which consists of real footage from Germany's streets.
