BiFNet: Bidirectional Fusion Network for Road Segmentation
文献类型：期刊论文
| 作者 | Li, Haoran1,2 ; Chen, Yaran1,2; Zhang, Qichao1,2; Zhao, Dongbin1,2
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| 刊名 | IEEE TRANSACTIONS ON CYBERNETICS
 |
| 出版日期 | 2021-08-31 |
| 页码 | 12 |
| 关键词 | Roads Image segmentation Three-dimensional displays Cameras Laser radar Fuses Feature extraction Adaptive learning autonomous vehicles multisensor fusion road segmentation |
| ISSN号 | 2168-2267 |
| DOI | 10.1109/TCYB.2021.3105488 |
| 通讯作者 | Zhao, Dongbin(dongbin.zhao@ia.ac.cn) |
| 英文摘要 | Multisensor fusion-based road segmentation plays an important role in the intelligent driving system since it provides a drivable area. The existing mainstream fusion method is mainly to feature fusion in the image space domain which causes the perspective compression of the road and damages the performance of the distant road. Considering the bird's eye views (BEVs) of the LiDAR remains the space structure in the horizontal plane, this article proposes a bidirectional fusion network (BiFNet) to fuse the image and BEV of the point cloud. The network consists of two modules: 1) the dense space transformation (DST) module, which solves the mutual conversion between the camera image space and BEV space and 2) the context-based feature fusion module, which fuses the different sensors information based on the scenes from corresponding features. This method has achieved competitive results on the KITTI dataset. |
| 资助项目 | Beijing Municipal Natural Science Foundation[L191002] ; Beijing Science and Technology Plan[Z191100007419002] ; National Natural Science Foundation of China (NSFC)[61803371] |
| WOS研究方向 | Automation & Control Systems ; Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000732313800001 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | Beijing Municipal Natural Science Foundation ; Beijing Science and Technology Plan ; National Natural Science Foundation of China (NSFC) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/46869]  |
| 专题 | 复杂系统管理与控制国家重点实验室_深度强化学习 |
| 通讯作者 | Zhao, Dongbin |
| 作者单位 | 1.Univ Chinese Acad Sci, Coll Artificial Intelligence, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Haoran,Chen, Yaran,Zhang, Qichao,et al. BiFNet: Bidirectional Fusion Network for Road Segmentation[J]. IEEE TRANSACTIONS ON CYBERNETICS,2021:12. |
| APA | Li, Haoran,Chen, Yaran,Zhang, Qichao,&Zhao, Dongbin.(2021).BiFNet: Bidirectional Fusion Network for Road Segmentation.IEEE TRANSACTIONS ON CYBERNETICS,12. |
| MLA | Li, Haoran,et al."BiFNet: Bidirectional Fusion Network for Road Segmentation".IEEE TRANSACTIONS ON CYBERNETICS (2021):12. |
入库方式： OAI收割
来源：自动化研究所
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