Design of autonomous obstacle avoidance unmanned boat system for wetland monitoring

4Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

In view of the drastic reduction of wetland area, serious pollution, low efficiency of prior art and many factors, this paper proposes an autonomous obstacle avoidance unmanned boat system design for wetland monitoring. The system adopts D∗ algorithm and improved LOS guidance law to realize unmanned ship track control and global path planning, and combines Yolov3 algorithm for target recognition and partial data acquisition during navigation to achieve autonomous obstacle avoidance navigation. The sensor is used to collect the wetland environment information and upload it to the shore monitoring centre to complete the automatic data collection and monitoring of the wetland. The system can improve the efficiency and quality of wetland monitoring, reduce labor costs, and can be widely used in wetland monitoring automation, marine environment monitoring, and cloud service platforms.

Cite

CITATION STYLE

APA

Chen, H., Wu, Z., Zheng, R., & Zhang, S. (2020). Design of autonomous obstacle avoidance unmanned boat system for wetland monitoring. In Journal of Physics: Conference Series (Vol. 1486). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1486/7/072033

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free