DRV-SLAM: An Adaptive Real-Time Semantic Visual SLAM Based on Instance Segmentation Toward Dynamic Environments-Reference-Cited by-同舟云学术

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DRV-SLAM: An Adaptive Real-Time Semantic Visual SLAM Based on Instance Segmentation Toward Dynamic Environments

Published:2024 Issue: Volume:12 Page:43827-43837
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ji Qiang¹^ORCID,Zhang Zikang¹^ORCID,Chen Yifu¹^ORCID,Zheng Enhui¹^ORCID

Affiliation:

1. School of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10475327.pdf?arnumber=10475327

Reference39 articles.

1. ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras

2. LSD-SLAM: Large-scale direct monocular SLAM;Engel

3. ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual–Inertial, and Multimap SLAM

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

5. A benchmark for the evaluation of RGB-D SLAM systems

Cited by 2 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. A method of dense point cloud SLAM based on improved YOLOV8 and fused with ORB-SLAM3 to cope with dynamic environments;Expert Systems with Applications;2024-12

2. DFT-VSLAM: A Dynamic Optical Flow Tracking VSLAM Method;Journal of Intelligent & Robotic Systems;2024-09-14

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