Pedestrian Detection for Autonomous Vehicles Using Virtual-to-Real Augmentation-Reference-Cited by-同舟云学术

Pedestrian Detection for Autonomous Vehicles Using Virtual-to-Real Augmentation

Published:2022-11-25 Issue: Volume: Page:
ISSN:
Container-title:2022 China Automation Congress (CAC)
language:
Short-container-title:

Author:

Lu Bo¹,Huang Min²,Li Xi¹,Nie Yunhao¹,Miao Qinghai²,Lv Yisheng³

Affiliation:

1. University of Chinese Academy of Sciences Institute of Automation, Chinese Academy of Sciences,School of Artificial Intelligence,Beijing,China

2. University of Chinese Academy of Sciences,School of Artificial Intelligence,Beijing,China

3. Institute of Automation, Chinese Academy of Sciences University of Chinese Academy of Sciences,State Key Laboratory of Management and Control for Complex Systems,Beijing,China

Funder

Chinese Academy of Sciences

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10054511/10054645/10054829.pdf?arnumber=10054829

Reference23 articles.

1. Human Synthesis and Scene Compositing

2. Learning from Synthetic Humans

3. Generalizable Pedestrian Detection: The Elephant In The Room

4. Training and testing object detectors with virtual images

5. Learning Object Placement by Inpainting for Compositional Data Augmentation

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. Data Augmentation for Pedestrians in Corner Case: A Pose Distribution Control Approach;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24

2. VCrash: A Closed-Loop Traffic Crash Augmentation with Pose Controllable Pedestrian;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24

3. Small Object Detector Using Contextual Local Features and Global Representations for Autonomous Driving;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24