ISSN :2582-9793

A horizon line annotation software for streamlining autonomous sea navigation experiments

Short Communication (Published On: 28-Dec-2023 )
DOI : https://doi.org/10.54364/AAIML.2023.11102

Yassir Zardoua

Adv. Artif. Intell. Mach. Learn., 3 (4):1768-1786

1. Yassir Zardoua: Smart Systems & Emerging Technologies, FSTT, Abdelmalek Essaadi University, Tetouan, Morocco

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DOI: 10.54364/AAIML.2023.11102

Article History: Received on: 18-Oct-23, Accepted on: 06-Dec-23, Published on: 28-Dec-23

Corresponding Author: Yassir Zardoua

Email: yassirzardoua@gmail.com

Citation: Yassir Zardoua, et al. A Horizon Line Annotation Software for Streamlining Autonomous Sea Navigation Experiments. Advances in Artificial Intelligence and Machine Learning. 2023;3(4):102.


Abstract

    

Horizon line (or sea line) detection (HLD) is a critical component in multiple marine autonomous navigation tasks, such as identifying the navigation area (i.e., the sea), obstacle detection and geo-localization, and digital video stabilization. A recent survey highlighted several weaknesses of such detectors, particularly on sea conditions lacking from the most extensive dataset currently used by HLD researchers. Experimental validation of more robust HLDs involves collecting an extensive set of these lacking sea conditions and annotating each collected image with the correct position and orientation of the horizon line. The annotation task is daunting without a proper tool. Therefore, we present the first public annotation software with tailored features to make the sea line annotation process fast and easy. We will provide the software and a video tutorial at: https://drive.google.com/drive/folders/1aGUlhw4PWsKWQ_FK_txoicmeykcqE4zm?usp=drive_link

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