Research on Trajectory Reconstruction Method Using Automatic Identification System Data for Unmanned Surface Vessel
暂无分享,去创建一个
Yixin Su | Binghua Shi | Chen Wang | Danhong Zhang | Mahmoud Samy AbouOmar | Mahmoud S. AbouOmar | Yixin Su | Chen Wang | Danhong Zhang | Binghua Shi
[1] Xinping Yan,et al. A novel method for restoring the trajectory of the inland waterway ship by using AIS data , 2015 .
[2] Xinping Yan,et al. A spatial–temporal forensic analysis for inland–water ship collisions using AIS data , 2013 .
[3] H. Ligteringen,et al. Comparison study on AIS data of ship traffic behavior , 2015 .
[4] Li Suyi,et al. Ship collision risk assessment for the Singapore Strait. , 2011, Accident; analysis and prevention.
[5] Changqing Liu,et al. Inference of Single Vessel Behaviour with Incomplete Satellite-based AIS Data , 2013, Journal of Navigation.
[6] Yaohong Qu,et al. Trajectory exponential tracking control of unmanned surface ships with external disturbance and system uncertainties. , 2018, ISA transactions.
[7] Xiaohui Hu,et al. Finding Abnormal Vessel Trajectories Using Feature Learning , 2017, IEEE Access.
[8] Yueying Wang,et al. An Empirically-Calibrated Ship Domain as a Safety Criterion for Navigation in Confined Waters , 2015, Journal of Navigation.
[9] Zhixiang Liu,et al. Unmanned surface vehicles: An overview of developments and challenges , 2016, Annu. Rev. Control..
[10] Anthony W. Isenor,et al. Estimating Reception Coverage Characteristics of AIS , 2011, Journal of Navigation.
[11] Jakub Montewka,et al. Towards an evidence-based probabilistic risk model for ship-grounding accidents , 2016 .
[12] Thoralf Noack,et al. Plausibility analysis of navigation related AIS parameter based on time series , 2013 .
[13] Lily Rachmawati,et al. An Automatic Identification System (AIS) Database for Maritime Trajectory Prediction and Data Mining , 2016, ArXiv.
[14] Xiaoye Wang,et al. Evaluation of multipath signal loss for AIS signals transmitted on the sea surface , 2017 .
[15] Yixin Su,et al. Study on intelligent collision avoidance and recovery path planning system for the waterjet-propelled unmanned surface vehicle , 2019 .
[16] A. Harati-Mokhtari,et al. Automatic Identification System (AIS): Data Reliability and Human Error Implications , 2007, Journal of Navigation.
[17] Sang-Min Lee,et al. The Interpolation Method for the missing AIS Data of Ship , 2015 .
[18] Jakub Montewka,et al. On the estimation of the design loads on container stacks due to excessive acceleration in adverse weather conditions , 2017 .
[19] Andy Norris. Automatic Identification Systems - the Effects of Class B on the Use of Class A Systems , 2006 .
[20] Piotr Borkowski,et al. The Ship Movement Trajectory Prediction Algorithm Using Navigational Data Fusion , 2017, Sensors.
[21] N. Huang,et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.
[22] Qiang Meng,et al. A novel ship trajectory reconstruction approach using AIS data , 2018, Ocean Engineering.
[23] R. Szlapczynski,et al. An Analysis of Domain-Based Ship Collision Risk Parameters , 2016 .
[24] Sanjay Sharma,et al. Finite-Time Observer Based Guidance and Control of Underactuated Surface Vehicles With Unknown Sideslip Angles and Disturbances , 2018, IEEE Access.
[25] Thor I. Fossen,et al. Continuous-Curvature Path Generation using Fermat's Spiral , 2013 .
[26] Jörg Peters. Changing Variables , 2012, IEEE Computer Graphics and Applications.
[27] Axel Hahn,et al. NMPC-based trajectory tracking and collision avoidance of unmanned surface vessels with rule-based colregs confinement , 2016, 2016 IEEE Conference on Systems, Process and Control (ICSPC).