ing at the problem that the current approaches of semantic segmentation cannot meet the simultaneous demands on accuracy and efficiency in scene parsing in the intelligent vehicles, an accurate and efficient algorithm for semantic segmentation is proposed. Based on the proposed separable residual module and the down-sampling module, a real-time and accurate semantic segmentation network is designed. With the Cityscapes dataset, the segmentation accuracy can reach 67.86% on the basis of the 12 frame/s efficiency. The research results demonstrate that the proposed method can achieve a good performance both in accuracy and efficiency, and makes a balance between accuracy and efficiency.