On the sea trial test for the validation of an autonomous collision avoidance system of unmanned surface vehicle, ARAGON

被引:0
|
作者
Son, Nam-sun [1 ]
Kim, Sun-Young [1 ]
机构
[1] Korea Res Inst Ships & Ocean Engn KRISO, Maritime Safety & Environm Res Div, Daejeon, South Korea
关键词
unmanned surface vehicle; autonomous navigation; changeable action space searching; collision avoidance; obstacle avoidance;
D O I
暂无
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
ARAGON is an unmanned surface vehicle (USV) for ocean observation and sea surveillance of Korea Research Institute of Ships and Ocean Engineering (KRISO). It has been constructed through the research and development project, which is entitled with "The development of intelligent unmanned surface vehicle for multipurpose mission of ocean observation and sea surveillance" under the financial support of Korea Ministry of Oceans and Fisheries since 2011. Now, it is the final eighth fiscal year of the project. The length of ARAGON is about 7.5 meter and its maximum speed is over 40 knots. ARAGON has 400-HP diesel engine with single water-jet. In order to make USV navigate safely according to the convention on the international regulations for preventing collisions at sea, 1972 (COLREGs) without human operation, autonomous navigation system is needed. A collision avoidance system is developed by using changeable action space searching. Action space can be flexibly changed according to the collision risk, which is estimated by using obstacle information on a basis of fuzzy inference. Navigational information of USN' such as position, speed, course and attitude are acquired by using real-time kinematic (RTK) GPS and Integrated Navigation System (INS). Obstacles can be detected and tracked by using multi-sensors fusion of automatic identification system (AIS), Pulse radar, light detection and ranging (Lidar) and EO/IR (Electro Optical/Infra-Red) camera. Optimal route for collision avoidance is estimated according to the cost functions related to collision risk in real-time. Autopilot and speed controller is actuated for the following to the optimal route. In order to evaluate the performance of autonomous navigation of ARAGON, field tests are carried out in actual sea area, Busan on the complicated colliding situations such as head-on, crossing and overtaking with multiple obstacles. Three physical powerboats are used as moving obstacles in the colliding situation of head-on, port-crossing and starboard-crossing. Two virtual boats are used as moving obstacles in the colliding situation of the 2nd head-on and overtaking. In this paper, the main features of ARAGON and main results of field test are described.
引用
收藏
页数:5
相关论文
共 50 条
  • [41] A steering occasion strategy for local collision avoidance of an Unmanned Surface Vehicle in a complex environment
    Wang, Dong
    Zhang, Jie
    Jin, Jiucai
    Shao, Feng
    Mao, Xingpeng
    [J]. PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017, : 6133 - 6138
  • [42] Research on Collision Avoidance Algorithm of Unmanned Surface Vehicle Based on Deep Reinforcement Learning
    Xia, Jiawei
    Zhu, Xufang
    Liu, Zhikun
    Luo, Yasong
    Wu, Zhaodong
    Wu, Qiuhan
    [J]. IEEE SENSORS JOURNAL, 2023, 23 (11) : 11262 - 11273
  • [43] Collision Avoidance Controller for Unmanned Surface Vehicle Based on Improved Cuckoo Search Algorithm
    Fan, Yunsheng
    Sun, Xiaojie
    Wang, Guofeng
    Mu, Dongdong
    [J]. APPLIED SCIENCES-BASEL, 2021, 11 (20):
  • [44] Design of Small Unmanned Surface Vehicle with Autonomous Navigation System
    Kolev, Georgii
    Tayarani Bathaie, Seyed Nima
    Rybin, Vyacheslav
    Kulagin, Maksim
    Karimov, Timur
    [J]. INVENTIONS, 2021, 6 (04)
  • [45] Multi-actuators vehicle collision avoidance system - Experimental validation
    Hamid, Umar Zakir Abdul
    Zakuan, Fakhrul Razi Ahmad
    Zulkepli, Khairul Akmal
    Azmi, Muhammad Zulfaqar
    Zamzuri, Hairi
    Rahman, Mohd Azizi Abdul
    Zakaria, Muhammad Aizzat
    [J]. INTERNATIONAL CONFERENCE ON INNOVATIVE TECHNOLOGY, ENGINEERING AND SCIENCES 2018 (ICITES 2018), 2018, 342
  • [46] Design, integration and flight test of an autonomous ground collision avoidance system
    Swihart D.E.
    Barfield A.F.
    Griffin E.M.
    Lehmann R.C.
    Whitcomb S.C.
    Skoog M.A.
    Flynn B.
    Prosser K.E.
    [J]. Gyroscopy and Navigation, 2011, 2 (2) : 84 - 91
  • [47] Experimental validation of a velocity obstacle based collision avoidance algorithm for unmanned surface vehicles
    Cho, Yonghoon
    Han, Jungwook
    Kim, Jinwhan
    Lee, Philyeob
    Park, Shin-Bae
    [J]. IFAC PAPERSONLINE, 2019, 52 (21): : 329 - 334
  • [48] Autonomous Trajectory Tracking and Collision Avoidance Design for Unmanned Surface Vessels: A Nonlinear Fuzzy Approach
    Chen, Yung-Yue
    Ellis-Tiew, Ming-Zhen
    [J]. MATHEMATICS, 2023, 11 (17)
  • [49] Collision Avoidance System for an Autonomous Sailboat
    Esteves, Joao
    Gomes, Luis
    Costa, Aniko
    [J]. IECON 2017 - 43RD ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2017, : 3539 - 3544
  • [50] RACE: Reinforced Cooperative Autonomous Vehicle Collision Avoidance
    Yuan, Yali
    Tasik, Robert
    Adhatarao, Sripriya Srikant
    Yuan, Yachao
    Liu, Zheli
    Fu, Xiaoming
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2020, 69 (09) : 9279 - 9291