TY - JOUR
T1 - COLREG and Autonomous Collision Avoidance Development: An analytical review
AU - Chang, C-H
AU - Kontovas, C
AU - Yang, Z
AU - Wijeratne, IB
AU - Lin, C-C
AU - Ung, S-T
AU - Karamperidis, S
PY - 2023/9/12
Y1 - 2023/9/12
N2 - Maritime Autonomous Surface Ships (MASS) face regulatory challenges, evident by that the
current ship anti-collision regulations (e.g. COLREG) are not appliable for autonomous navigation
systems. While academic research has focused on developing autonomous collision avoidance
(CA), these studies have produced inconsistent outcomes compared to conventional navigation
practices. This study aims to identify trends and weaknesses in recent academic studies on CA
by reviewing and analysing the contents of selected papers. The conventional collision avoidance
process (CCAP), which benchmarks human driven modern ship’s capacity for CA compliance
with COLREG and industry requirements, was used to disintegrate into 53 fragmented functions
under eight main functions. 32 papers were selected by filtering based on keywords, period of
publication, language, and relevance. The autonomy development content was then grouped
under appropriate CCAP codes. Statistical and graphical interpretations were generated using
the collected literature content data and evaluated statistics of the existing digital contribution of
CCAP. The study reveals significant trends, inconsistency, and weaknesses of CA regulations to
guide future scholarly studies toward comprehensive CA solutions.
AB - Maritime Autonomous Surface Ships (MASS) face regulatory challenges, evident by that the
current ship anti-collision regulations (e.g. COLREG) are not appliable for autonomous navigation
systems. While academic research has focused on developing autonomous collision avoidance
(CA), these studies have produced inconsistent outcomes compared to conventional navigation
practices. This study aims to identify trends and weaknesses in recent academic studies on CA
by reviewing and analysing the contents of selected papers. The conventional collision avoidance
process (CCAP), which benchmarks human driven modern ship’s capacity for CA compliance
with COLREG and industry requirements, was used to disintegrate into 53 fragmented functions
under eight main functions. 32 papers were selected by filtering based on keywords, period of
publication, language, and relevance. The autonomy development content was then grouped
under appropriate CCAP codes. Statistical and graphical interpretations were generated using
the collected literature content data and evaluated statistics of the existing digital contribution of
CCAP. The study reveals significant trends, inconsistency, and weaknesses of CA regulations to
guide future scholarly studies toward comprehensive CA solutions.
UR - https://pearl.plymouth.ac.uk/context/pbs-research/article/1246/viewcontent/IAME_202023_20submissions_v1.1.pdf
M3 - Conference proceedings published in a journal
VL - 0
JO - Default journal
JF - Default journal
IS - 0
T2 - IAME Conference 2023
Y2 - 5 September 2023 through 8 September 2023
ER -
