QT-Based Imaging Study of Collision Avoidance Sonar Echo Data
The core function of collision avoidance sonar is to detect the obstacles in the navigation channel and accurately determine the orientation and distance of the obstacles from itself, so as to significantly improve the safety of underwater vehicles during navigation and surfacing. In this paper, we focus on how to successfully map the echo data into fan-shaped images by using Qt Creator and OpenCV programming techniques.
Authors
- Zhang Shan (ORCID: https://orcid.org/0000-0002-1037-6760)
- Zheng Sheng Cheng
- Jin Xu (ORCID: https://orcid.org/0000-0002-6918-2493)
- Ye Tao (ORCID: https://orcid.org/0000-0001-5470-9451)
Institutions
- Hangzhou Institute of Applied Acoustics (CN)
Publication Details
- Published
- 2024-09-21
- DOI
- https://doi.org/10.1109/icicsp62589.2024.10809146
- Primary Topic
- Advanced Chemical Sensor Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00