Collision-avoidance navigation systems for Maritime Autonomous Surface Ships: A state of the art survey

Zhang, Xinyu; Wang, Chengbo; Jiang, Lingling; An, Lanxuan; Yang, Rui

doi:10.1016/j.oceaneng.2021.109380

Cited by 139 publications

(45 citation statements)

References 76 publications

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“…During these trials, it still has minimal crew onboard for safety concerns (The Maritime Executive 2021). The "Designing the Future of Full Autonomous Ship" (DFFAS) project recently constructed a fleet operation center in Japan, where it will control MASS by 2025 (Zhang et al 2021). China's 300 TEU containership ZHI FEI started sailing short distances between two of China's ports at the end of 2021.…”

Section: Massmentioning

confidence: 99%

Autonomous ships and the collision avoidance regulations: a licensed deck officer survey

Hannaford

Maes

Hassel

2022

WMU J Marit Affairs

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International interest in Maritime Autonomous Surface Ships (MASS) is on the rise. This exploratory research presents insights of a sample of licensed deck officers (LDOs) regarding the potential future of the Collision Avoidance Regulations (COLREGs) with the implementation of MASS. At present, there is much discussion in the maritime industry on if and how the COLREGs will need to be amended to be able to be applied to MASS. Limited research is published from the key perspective of the LDO. Qualitative and quantitative methods are used, including a literature review and a multiple-choice survey. Data is analyzed via descriptive statistics, and commonalities within the results are investigated as well as years of experience with practicing the COLREGs. Results show that many barriers exist when applying the COLREGs to MASS, and minor amendments to certain terms and definitions are recommended. Moreover, the COLREGs should not be quantified, and MASS should be identifiable from other vessels. LDOs with more experience with practicing the COLREGs are found to be slightly more open to changing the rules versus LDOs with less experience. When compared to the results of the International Maritime Organization’s regulatory scoping exercise, the results of this study are found to be in congruence. This research provides valuable insights for the ongoing discussion of the future of MASS operation in the maritime industry.

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Section: Massmentioning

confidence: 99%

Autonomous ships and the collision avoidance regulations: a licensed deck officer survey

Hannaford

Maes

Hassel

2022

WMU J Marit Affairs

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“…The next step of automobile safety technology is mainly to develop active safety technology represented by the advanced driving assistance system (ADAS). When a vehicle encounters a dangerous situation for collision avoidance, the active collision avoidance movement can be divided into two categories, namely, changing the longitudinal motion state of the vehicle through emergency braking for collision avoidance and steering or braking coordinated steering to make the vehicle bypass obstacles in the form of emergency lane change for collision avoidance [ 15 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

Application of Machine Learning in Ethical Design of Autonomous Driving Crash Algorithms

Xiao

2022

Computational Intelligence and Neuroscience

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The age of algorithms is here, and it is really changing people’s lives. More and more ethical problems related to algorithms have attracted people’s attention, but the related ethical research is still far behind the research of algorithms. As more intelligent algorithms emerge in an endless stream, there will also be a lot of algorithmic ethical issues. On the other hand, with the continuous improvement of the development level of the automobile industry, people have a stronger demand for the safety and stability of modern transportation, and more and more autonomous driving technology has been promoted and applied in the market. At present, most of the studies on the longitudinal collision avoidance system of vehicles use collision warning or emergency braking to avoid collision. However, when the vehicle is in a special situation such as high speed and slippery road, emergency steering is more effective. In order to further improve the vehicle safety and ethical algorithm design points, this article revolves around vehicle lateral active collision avoidance control method research, the collision avoidance decision-making, and path planning and collision avoidance transverse vehicle longitudinal motion control is analyzed, and based on automated driving simulation experiment, the tests carried out to verify the designed control strategy. The experimental results show that the proposed method not only has a good effect of preventing automatic driving collision but also can meet the requirements of algorithm ethics. This research can effectively guide the research of algorithmic ethics in the field of autonomous driving and effectively reduce the occurrence of traffic accidents.

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“…6 The collision avoidance method can be roughly divided into four parts: geometric method, bionic optimization algorithm, virtual vector and field theory, and artificial intelligence method. 7 At present, with the development of artificial intelligence, bionic optimization algorithms and artificial intelligence methods based on learning and gaming have made great progress. Rendezvous is to study the issue of collision avoidance between MUSVs.…”

Section: Introductionmentioning

confidence: 99%

Review of multiple unmanned surface vessels collaborative search and hunting based on swarm intelligence

Sun

et al. 2022

International Journal of Advanced Robotic Systems

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In recent years, the research of multiple unmanned surface vessels collaboration has received great attention. More and more researchers have proposed different methods of multiple unmanned surface vessels collaboration, such as cooperative collision avoidance, formation, and rendezvous. Based on the significant advantages of biological swarm intelligence applications in these collaborative methods, this article summarizes the research methods of multiple unmanned surface vessels collaborative search and hunting from the perspective of swarm intelligence. First of all, this article summarizes the key technologies of multiple unmanned surface vessels collaborative search and hunting from the aspects of the multi-robot system, group communication, environment modeling, collaboration mechanism, and path planning. Then, it reviews some classic swarm intelligence algorithms, analyzes the advantages and disadvantages of these algorithms, and proposes optimization directions for existing disadvantages based on relevant literature. Finally, the article points out some existing problems in every stage and suggestions for future research.

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Collision-avoidance navigation systems for Maritime Autonomous Surface Ships: A state of the art survey

Cited by 139 publications

References 76 publications

Autonomous ships and the collision avoidance regulations: a licensed deck officer survey

Autonomous ships and the collision avoidance regulations: a licensed deck officer survey

Application of Machine Learning in Ethical Design of Autonomous Driving Crash Algorithms

Review of multiple unmanned surface vessels collaborative search and hunting based on swarm intelligence

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