StereoVAE: A lightweight stereo-matching system using embedded GPUs-Reference-Cited by-同舟云学术

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StereoVAE: A lightweight stereo-matching system using embedded GPUs

Published:2023-05-29 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Chang Qiong¹,Li Xiang²,Xu Xin²,Liu Xin³,Li Yun²,Miyazaki Jun¹

Affiliation:

1. School of Computing, Tokyo Institute of Technology,Tokyo,Japan,152-8550

2. School of Electronic Science & Engineering, Nanjing University,Nanjing,China,210093

3. National Institute of Advanced Industrial Science and Technology (AIST),Artificial Intelligence Research Center,Tokyo,Japan,135-0064

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10160211/10160212/10160441.pdf?arnumber=10160441

Reference23 articles.

1. Patch-match stereo-stereo matching with slanted support windows;bleyer;BMVC,2011

2. DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch

3. On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach

4. ATGV-Net: Accurate Depth Super-Resolution

5. GA-Net: Guided Aggregation Net for End-To-End 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. TinyStereo: A Tiny Coarse-to-Fine Framework for Vision-Based Depth Estimation on Embedded GPUs;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2024-08

2. Distill-then-prune: An Efficient Compression Framework for Real-time Stereo Matching Network on Edge Devices;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. Cell-Based Refinement Processor Utilizing Disparity Characteristics of Road Environment for SGM-Based Stereo Vision Systems;IEEE Access;2023

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