RTSNet: Real-Time Semantic Segmentation Network for Outdoor Scenes
文献类型：会议论文
| 作者 | Ma, Mingyu1; Zou FS(邹风山)1,3; Xu F(徐方)1,2,3; Song JL(宋吉来)2,3 |
| 出版日期 | 2019 |
| 会议日期 | July 29 - August 2, 2019 |
| 会议地点 | Suzhou, China |
| 关键词 | semantic segmentation real-time outdoor scenes RTSNet mean intersection-over-union |
| 页码 | 659-664 |
| 英文摘要 | Semantic segmentation technique plays an important role in robotics related applications, especially autonomous driving and assisted driving. Real-time semantic segmentation has very significant practical meaning, but many studies focus on accuracy, not computationally efficient solutions. In this paper, a real-time semantic segmentation network based on encoder-decoder architecture is proposed. This framework's encoder part adopted a lightweight network architecture for feature extraction and this architecture is mainly based on the MobilenetV2. Its decoder part is decided to use the Skip architecture. This architecture can utilize higher resolution feature mapping to provide adequate accuracy and greatly improve computational efficiency. We evaluated RTSNet on the Cityscapes dataset for urban scenes and compared with the state of the art real-time semantic segmentation networks. The mean intersection-over-union it can achieve on the Cityscapes dataset is about 62.0%, while it achieved 14.0 fps on NVIDIA Jetson TX2 with 360×640 input images. |
| 产权排序 | 3 |
| 会议录 | Proceedings of 9th IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-7281-0769-1 |
| WOS记录号 | WOS:000569550300113 |
| 源URL | [http://ir.sia.cn/handle/173321/26836]  |
| 专题 | 沈阳自动化研究所_其他 |
| 通讯作者 | Ma, Mingyu |
| 作者单位 | 1.Northeastern University, Shenyang 110819, China 2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 10016, China 3.Shenyang SIASUN Robot Automation Co. Ltd., Shenyang 110168, China |
| 推荐引用方式 GB/T 7714 | Ma, Mingyu,Zou FS,Xu F,et al. RTSNet: Real-Time Semantic Segmentation Network for Outdoor Scenes[C]. 见:. Suzhou, China. July 29 - August 2, 2019. |
入库方式： OAI收割
来源：沈阳自动化研究所
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