ATLS: Automated Trailer Loading for Surface Vessels

Autor:	Abughaida, Amer, Gandhi, Meet, Heo, Jun, Tadiparthi, Vaishnav, Sakamoto, Yosuke, Woo, Joohyun, Bae, Sangjae
Rok vydání:	2024
Předmět:	Electrical Engineering and Systems Science - Systems and Control
Druh dokumentu:	Working Paper
Popis:	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. Comment: To be presented at IEEE Intelligent Vehicles Symposium (IV 2024)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2405.05426 Zobrazit plný text záznamu View this record from Arxiv