Visual SLAM Mapping Based on YOLOv5 in Dynamic Scenes
When building a map of a dynamic environment, simultaneous localization and mapping systems have problems such as poor robustness and inaccurate pose estimation. This paper proposes a new mapping method based on the ORB-SLAM2 algorithm combined with the YOLOv5 network. First, the YOLOv5 network of t...
Main Authors: | Xinguang Zhang, Ruidong Zhang, Xiankun Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-11-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/22/11548 |
Similar Items
-
Geometric Constraint-Based and Improved YOLOv5 Semantic SLAM for Dynamic Scenes
by: Ruidong Zhang, et al.
Published: (2023-05-01) -
YDD-SLAM: Indoor Dynamic Visual SLAM Fusing YOLOv5 with Depth Information
by: Peichao Cong, et al.
Published: (2023-12-01) -
Visual Simultaneous Localization and Mapping Optimization Method Based on Object Detection in Dynamic Scene
by: Yongping Zhu, et al.
Published: (2024-02-01) -
YKP-SLAM: A Visual SLAM Based on Static Probability Update Strategy for Dynamic Environments
by: Lisang Liu, et al.
Published: (2022-09-01) -
Dynamic Semantics SLAM Based on Improved Mask R-CNN
by: Xinguang Zhang, et al.
Published: (2022-01-01)