Automated docking technologies of marine boats have been enlightened by an increasing number of literature. This paper contributes to the literature by proposing a mathematical framework that automates "trailer loading" in the presence of wind disturbances, which is unexplored despite its importance to boat owners. The comprehensive pipeline of localization, system identification, and trajectory optimization is structured, followed by several techniques to improve performance reliability. The performance of the proposed method was demonstrated with a commercial pontoon boat in Michigan, in 2023, securing a success rate of 80\% in the presence of perception errors and wind disturbance. This result indicates the strong potential of the proposed pipeline, effectively accommodating the wind effect.
@article{arxiv.2405.05426,
title = {ATLS: Automated Trailer Loading for Surface Vessels},
author = {Amer Abughaida and Meet Gandhi and Jun Heo and Vaishnav Tadiparthi and Yosuke Sakamoto and Joohyun Woo and Sangjae Bae},
journal= {arXiv preprint arXiv:2405.05426},
year = {2024}
}
Comments
To be presented at IEEE Intelligent Vehicles Symposium (IV 2024)