S$^{3}$M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving-Reference-Cited by-同舟云学术

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S$^{3}$M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving

Published:2024-02 Issue:2 Volume:9 Page:3940-3951
ISSN:2379-8904
Container-title:IEEE Transactions on Intelligent Vehicles
language:
Short-container-title:IEEE Trans. Intell. Veh.

Author:

Wu Zhiyuan¹^ORCID,Feng Yi¹^ORCID,Liu Chuang-Wei¹^ORCID,Yu Fisher²^ORCID,Chen Qijun¹^ORCID,Fan Rui¹^ORCID

Affiliation:

1. College of Electronics & Information Engineering, Shanghai Research Institute for Intelligent Autonomous Systems, The State Key Laboratory of Intelligent Autonomous Systems, and Frontiers Science Center for Intelligent Autonomous Systems, Tongji University, Shanghai, China

2. Department of Information Technology and Electrical Engineering, ETH Zürich, Zürich, Switzerland

Funder

Science and Technology Commission of Shanghai Municipal

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Xiaomi Young Talents Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7274857/10510053/10412168.pdf?arnumber=10412168

Reference61 articles.

1. The Role of Machine Vision for Intelligent Vehicles

2. Humans and Intelligent Vehicles: The Hope, the Help, and the Harm

3. SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection

4. Iterative Geometry Encoding Volume for Stereo Matching

5. Masked Representation Learning for Domain Generalized Stereo Matching

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Generalized Correspondence Matching via Flexible Hierarchical Refinement and Patch Descriptor Distillation;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. Dive Deeper into Rectifying Homography for Stereo Camera Online Self-Calibration;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. SG-RoadSeg: End-to-End Collision-Free Space Detection Sharing Encoder Representations Jointly Learned via Unsupervised Deep Stereo;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

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