Estimation of berthing state of maritime autonomous surface ships based on 3D LiDAR. (1st May 2022)
- Record Type:
- Journal Article
- Title:
- Estimation of berthing state of maritime autonomous surface ships based on 3D LiDAR. (1st May 2022)
- Main Title:
- Estimation of berthing state of maritime autonomous surface ships based on 3D LiDAR
- Authors:
- Hu, Bin
Liu, Xiuwen
Jing, Qianfeng
Lyu, Hongguang
Yin, Yong - Abstract:
- Abstract: During the process of automatic berthing, the maritime autonomous surface ship (MASS) needs to sense its own status relative to the berth in real-time and accurately to avoid collisions. This study proposes a berthing state perception method based on 3D LiDAR for MASS. First, a method for estimating the ship state based on point cloud registration is established. The accuracy of this method is verified through a comparison with GPS/IMU integrated navigation. Then, the detailed calculation methods for five types of berthing status are proposed, which including the distance, transversal velocity, longitudinal velocity, vessel-approaching angle and yaw rate. Besides, a berthing perception framework based on the robot operation system (ROS) is constructed. Finally, a test platform was established, and berthing experiments were conducted. The experimental results indicated that the average relative error between the calculated results of the berthing state perception method and actual measured value is 2.85%, with a calculation frequency of 10 Hz, which meets the accuracy and real-time requirements of the ship berthing sensing. The method proposed in this paper can not only assist other perception units, such as GPS/IMU, to form a redundant sensing system, but also provide accurate and real-time berthing status information for the control unit. Highlights: Estimate the velocity and triaxial angular velocity of the vessel using the ship-borne 3D LiDAR. The vessel'sAbstract: During the process of automatic berthing, the maritime autonomous surface ship (MASS) needs to sense its own status relative to the berth in real-time and accurately to avoid collisions. This study proposes a berthing state perception method based on 3D LiDAR for MASS. First, a method for estimating the ship state based on point cloud registration is established. The accuracy of this method is verified through a comparison with GPS/IMU integrated navigation. Then, the detailed calculation methods for five types of berthing status are proposed, which including the distance, transversal velocity, longitudinal velocity, vessel-approaching angle and yaw rate. Besides, a berthing perception framework based on the robot operation system (ROS) is constructed. Finally, a test platform was established, and berthing experiments were conducted. The experimental results indicated that the average relative error between the calculated results of the berthing state perception method and actual measured value is 2.85%, with a calculation frequency of 10 Hz, which meets the accuracy and real-time requirements of the ship berthing sensing. The method proposed in this paper can not only assist other perception units, such as GPS/IMU, to form a redundant sensing system, but also provide accurate and real-time berthing status information for the control unit. Highlights: Estimate the velocity and triaxial angular velocity of the vessel using the ship-borne 3D LiDAR. The vessel's berthing distance, vessel-approaching angle, berthing speed, etc. are estimated by ship-borne 3D LiDAR. The real-time and accuracy of the 3D LiDAR-based berthing perception framework meets the actual berthing requirements. The berthing perception framework has the characteristics of universality. It is suitable for parallel wharf in the port. … (more)
- Is Part Of:
- Ocean engineering. Volume 251(2022)
- Journal:
- Ocean engineering
- Issue:
- Volume 251(2022)
- Issue Display:
- Volume 251, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 251
- Issue:
- 2022
- Issue Sort Value:
- 2022-0251-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-05-01
- Subjects:
- 3D LiDAR -- MASS -- Berthing perception -- Berthing state -- ROS
Ocean engineering -- Periodicals
Ocean engineering
Periodicals
620.4162 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00298018 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.oceaneng.2022.111131 ↗
- Languages:
- English
- ISSNs:
- 0029-8018
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6231.280000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21221.xml