3D-aided image augmentation for occluded pedestrian detection based on parallel vision-Reference-Cited by-同舟云学术

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3D-aided image augmentation for occluded pedestrian detection based on parallel vision

Published:2023-11-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 3rd International Conference on Digital Twins and Parallel Intelligence (DTPI)
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Author:

Bai Songlin¹,Du Quancheng²,Tian Yonglin³,Wang Xiao⁴

Affiliation:

1. University of Science and Technology Beijing,Beijing,China,100083

2. University of Science and Technology Beijing,Beijing,China,100190

3. Institute of Automation Chinese Academy of Sciences,Beijing,China,100190

4. Anhui University,Hefei,China,230601

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10365401/10365317/10365321.pdf?arnumber=10365321

Reference25 articles.

1. Soft-Weighted-Average Ensemble Vehicle Detection Method Based on Single-Stage and Two-Stage Deep Learning Models

2. Visual Human–Computer Interactions for Intelligent Vehicles and Intelligent Transportation Systems: The State of the Art and Future Directions

3. Metaverses and DeMetaverses: From Digital Twins in CPS to Parallel Intelligence in CPSS

4. Parallel Learning: Overview and Perspective for Computational Learning Across Syn2Real and Sim2Real

5. Prediction-Uncertainty-Aware Decision-Making for Autonomous Vehicles

Cited by 1 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. DriveCP: Occupancy-Assisted Scenario Augmentation for Occluded Pedestrian Perception Based on Parallel Vision;IEEE Journal of Radio Frequency Identification;2024

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