Results 31 to 40 of about 883,519 (260)

A Novel Collision Avoidance Logic for Unmanned Aerial Vehicles Using Real-Time Trajectory Planning [PDF]

, 2014
An effective collision avoidance logic should prevent collision without excessive alerting. This requirement would be even more stringent for an automatic collision avoidance logic, which is probably required by Unmanned Aerial Vehicles to mitigate ...
Lai, Chi Kin
core   +4 more sources

A Multi-Ship Collision Avoidance Algorithm Using Data-Driven Multi-Agent Deep Reinforcement Learning

Journal of Marine Science and Engineering, 2023
Maritime Autonomous Surface Ships (MASS) are becoming of interest to the maritime sector and are also on the agenda of the International Maritime Organization (IMO). With the boom in global maritime traffic, the number of ships is increasing rapidly. The
Yi-Han Niu, Fei-Xiang Zhu, Mo-Xuan Wei, Yi-Fan Du, Peng-Yu Zhai   +4 more
semanticscholar   +1 more source

Intelligent collision avoidance decision-making method for unmanned ships based on driving practice

Zhongguo Jianchuan Yanjiu, 2021
Objective In order to realize the intelligent navigation and autonomous collision avoidance of unmanned ships in coastal areas, an intelligent collision avoidance decision-making method based on driving practice is proposed.
Zhiguo DING, Xinyu ZHANG, Chengbo WANG, Quan LI, Lanxuan AN   +4 more
doaj   +1 more source

Explainable AI for Ship Collision Avoidance: Decoding Decision-Making Processes and Behavioral Intentions [PDF]

Applied Ocean Research
This study developed an explainable AI for ship collision avoidance. Initially, a critic network composed of sub-task critic networks was proposed to individually evaluate each sub-task in collision avoidance to clarify the AI decision-making processes ...
Hitoshi Yoshioka, Hirotada Hashimoto
semanticscholar   +1 more source

Research on autonomous collision avoidance of merchant ship based on inverse reinforcement learning

International Journal of Advanced Robotic Systems, 2020
To learn the optimal collision avoidance policy of merchant ships controlled by human experts, a finite-state Markov decision process model for ship collision avoidance is proposed based on the analysis of collision avoidance mechanism, and an inverse ...
Mao Zheng, Shuo Xie, Xiumin Chu, Tianquan Zhu, Guohao Tian   +4 more
doaj   +1 more source

Nautical traffic simulation with multi-agent system [PDF]

, 2013
This paper describes a microscopic nautical traffic simulation model based on multi-agent system. The ship traffic is produced from the behavior of autonomous agents that represent ships.
Coen van Gulijk, Han Ligteringen, Fangliang Xiao, Van Gulijk, Coen, Ale, B.J.M. (author), Ale, B. (author), Ligteringen, H. (author), Van Gulijk, C. (author), Xiao, F. (author), Ligteringen, Han, Ben Ale, Xiao, Fangliang, Ale, Ben   +12 more
core   +1 more source

Multi-agent Planning for Ship Collision Avoidance

2008 IEEE Conference on Robotics, Automation and Mechatronics, 2008
Multi-agent based planning techniques have been widely applied to various decision-making support applications. In this paper, we investigate how to apply multi-agent planning to collision avoidance in ship navigation. We have developed three multi-agent-based planning algorithms: the independent planning for self-benefit purpose, the centralized ...
Liu, Y., Yang, Chunsheng, Du, X.
openaire   +3 more sources

A Decision-Making Method for Ship Collision Avoidance Based on Improved Cultural Particle Swarm

Journal of Advanced Transportation, 2021
In the process of ship collision avoidance decision making, steering collision avoidance is the most frequently adopted collision avoidance method. In order to obtain an effective and reasonable steering angle, this paper proposes a decision-making ...
Yisong Zheng, Xiuguo Zhang, Zijing Shang, Siyu Guo, Yiquan Du   +4 more
doaj   +1 more source

Ship’s Trajectory Planning Based on Improved Multiobjective Algorithm for Collision Avoidance

Journal of Advanced Transportation, 2019
With vigorous development of the maritime trade, many intelligent algorithms have been proposed to avoid collisions due to resulting casualties and increased costs. According to the international regulations for preventing collisions at sea (COLREGs) and
Jinxin Li, Hongbo Wang, Wei Zhao, Yuanyuan Xue   +3 more
doaj   +1 more source

A Survey of Recent Machine Learning Solutions for Ship Collision Avoidance and Mission Planning [PDF]

IFAC-PapersOnLine, 2022
Machine Learning (ML) techniques have gained significant traction as a means of improving the autonomy of marine vehicles over the last few years. This article surveys the recent ML approaches utilised for ship collision avoidance (COLAV) and mission ...
Pouria Sarhadi, Wasif Naeem, N. Athanasopoulos   +2 more
semanticscholar   +1 more source