Deep reinforcement learning model for Multi-Ship collision avoidance decision making design implementation and performance analysis
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-05636-3
Abstract: This paper proposes a novel multi-ship collision avoidance decision-making model based on deep reinforcement learning (DRL). The model addresses the critical challenge of preventing ship collisions while maintaining efficient navigation in complex maritime environments. Our… read more here.
Keywords: navigation; multi ship; ship collision; collision ... See more keywords
Robust Multi-Ship Tracker in SAR Imagery by Fusing Feature Matching and Modified KCF
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3251975
Abstract: In previous research, most multiobject tracking (MOT) algorithms focus on the optical image dataset, while the synthetic aperture radar (SAR) image dataset faces the characteristics of few prior samples, high false alarm rate, and various… read more here.
Keywords: ship tracker; multi ship; robust multi; image dataset ... See more keywords
Combinatorial-Testing-Based Multi-Ship Encounter Scenario Generation for Collision Avoidance Algorithm Evaluation
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Marine Science and Engineering"
DOI: 10.3390/jmse13020338
Abstract: Collision avoidance algorithms play a crucial role in ensuring the safety and effectiveness of autonomous ships, which require comprehensive testing in realistic multi-ship encounter scenarios. However, existing scenario generation methods often inadequately represent the spatiotemporal… read more here.
Keywords: scenario generation; multi ship; testing based; scenario ... See more keywords
COLREGs-Compliant Distributed Stochastic Search Algorithm for Multi-Ship Collision Avoidance
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Marine Science and Engineering"
DOI: 10.3390/jmse13081402
Abstract: The increasing complexity of maritime traffic imposes growing demands on the safety and rationality of ship-collision-avoidance decisions. While most existing research focuses on simple encounter scenarios, autonomous collision-avoidance strategies that comply with the International Regulations… read more here.
Keywords: collision avoidance; distributed stochastic; multi ship; collision ... See more keywords
Multi-Ship Collision Avoidance in Inland Waterways Using Actor-Critic Learning with Intrinsic and Extrinsic Rewards
Sign Up to like & getrecommendations! Published in 2025 at "Symmetry"
DOI: 10.3390/sym17040613
Abstract: Inland waterway navigation involves complex traffic conditions with frequent multi-ship encounters. Benefiting from its straightforward structure and robust adaptability, reinforcement learning has found applications in navigation. This article proposes a deep actor–critic collision avoidance model… read more here.
Keywords: navigation; multi ship; reward; collision ... See more keywords