TY  - GEN
N2  - Autonomous navigation is achieved by training or programming the ship with the stored data about the vessel behavior in various sailing environment. The autonomous behaviour relies on intelligent analytics based on machine learning algorithms. As a major advance in machine learning, the deep learning approach is becoming a powerful technique for autonomy. The deep learning methodologies are applied in various fields in the maritime industry such as detecting anomalies, ship classification, collision avoidance, risk detection of cyber attacks, navigation in ports and so on. The present paper reviews on various methods available in the literature for vessel autonomy and their applications in ship navigation. The focus of the work is to illustrate the advantages of deep learning approach over the machine learning and other traditional methods.
AB  - Autonomous navigation is achieved by training or programming the ship with the stored data about the vessel behavior in various sailing environment. The autonomous behaviour relies on intelligent analytics based on machine learning algorithms. As a major advance in machine learning, the deep learning approach is becoming a powerful technique for autonomy. The deep learning methodologies are applied in various fields in the maritime industry such as detecting anomalies, ship classification, collision avoidance, risk detection of cyber attacks, navigation in ports and so on. The present paper reviews on various methods available in the literature for vessel autonomy and their applications in ship navigation. The focus of the work is to illustrate the advantages of deep learning approach over the machine learning and other traditional methods.
AD  - Academy of Maritime Education and Training, Chennai
AD  - Academy of Maritime Education and Training, Chennai
AD  - Academy of Maritime Education and Training, Chennai
AD  - Academy of Maritime Education and Training, Chennai
AD  - Academy of Maritime Education and Training, Chennai
T1  - Autonomous Ship Navigation Methods: A Review
DA  - 2019-11-05
AU  - Noel, A
AU  - Shreyanka, K
AU  - Kumar, KGS
AU  - Shameem, BM
AU  - Ashkar, B
L1  - https://library.imarest.org/record/11120/files/Paper%208b%20-%20Autonomous%20ship%20navigation%20methods%20A%20Review.pdf
JF  - Conference Proceedings of ICMET
VL  - ICMET 2019
PY  - 2019-11-05
ID  - 11120
L4  - https://library.imarest.org/record/11120/files/Paper%208b%20-%20Autonomous%20ship%20navigation%20methods%20A%20Review.pdf
TI  - Autonomous Ship Navigation Methods: A Review
Y1  - 2019-11-05
L2  - https://library.imarest.org/record/11120/files/Paper%208b%20-%20Autonomous%20ship%20navigation%20methods%20A%20Review.pdf
LK  - https://library.imarest.org/record/11120/files/Paper%208b%20-%20Autonomous%20ship%20navigation%20methods%20A%20Review.pdf
UR  - https://library.imarest.org/record/11120/files/Paper%208b%20-%20Autonomous%20ship%20navigation%20methods%20A%20Review.pdf
ER  -