GRIF Net: Gated Region of Interest Fusion Network for Robust 3D Object Detection from Radar Point Cloud and Monocular Image-Reference-Cited by-同舟云学术

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GRIF Net: Gated Region of Interest Fusion Network for Robust 3D Object Detection from Radar Point Cloud and Monocular Image

Published:2020-10-24 Issue: Volume: Page:
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Container-title:2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Kim Youngseok,Choi Jun Won,Kum Dongsuk

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9340668/9340635/09341177.pdf?arnumber=9341177

Cited by 35 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. IRBEVF-Q: Optimization of Image–Radar Fusion Algorithm Based on Bird’s Eye View Features;Sensors;2024-07-16

2. RCM-Fusion: Radar-Camera Multi-Level Fusion for 3D Object Detection;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. PillarGen: Enhancing Radar Point Cloud Density and Quality via Pillar-based Point Generation Network;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. Enhancing mmWave Radar Point Cloud via Visual-inertial Supervision;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

5. Radar-vision fusion-based object detection for abnormal data;Fourth International Conference on Telecommunications, Optics, and Computer Science (TOCS 2023);2024-05-07

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