Robust Vision SLAM Based on YOLOX for Dynamic Environments-Reference-Cited by-同舟云学术

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Robust Vision SLAM Based on YOLOX for Dynamic Environments

Published:2022-11-11 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 22nd International Conference on Communication Technology (ICCT)
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Author:

Yan Huangbin¹,Zhou Xin¹,Liu Junya¹,Yin Zhijian¹,Yang Zhen¹

Affiliation:

1. Jiangxi Science and Technology Normal University,Nanchang,China

Funder

National Natural Science Foundation of China

Key Laboratory of System Control and Information Processing

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10072013/10072295/10073383.pdf?arnumber=10073383

Reference15 articles.

1. Deep EndoVO: A recurrent convolutional neural network (RCNN) based visual odometry approach for endoscopic capsule robots

2. DeepVO: Towards end-to-end visual odometry with deep Recurrent Convolutional Neural Networks

3. Fast and robust visual odometry with a low-cost IMU in dynamic environments

4. VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator

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. YDD-SLAM: Indoor Dynamic Visual SLAM Fusing YOLOv5 with Depth Information;Sensors;2023-12-03

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