  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.
