Collision avoidance algorithms for autonomous ships are frequently proposed, but very few
studies consider the interaction and information exchange between ships, and if they do, this …

Recently, researchers have shown a soaring interest in maritime autonomous surface ship
(MASS). The reliable design and risk evaluation of MASS is crucial in order to support its …

Reinforcement learning (RL) has shown superior performance in solving sequential
decision problems. In recent years, RL is gradually being used to solve unmanned driving …

Abstract Maritime Autonomous Surface Ships (MASS) face regulatory challenges, with some
suggesting that the existing Collision Regulations (COLREG) present linguistic barriers for …

Navigators, shipping companies, port authorities and government maritime bureaus are
interested in understanding the navigational risks of Maritime Autonomous Surface Ships …

A growing interest in developing autonomous surface vehicles (ASVs) has been witnessed
during the past two decades, including COLREGs-compliant navigation to ensure safe …

The increasing number of bridges in inland waterways has been continuously posing the
potential for ship-bridge collision accidents. To reduce the probability of accidents in the …

Maritime Autonomous Surface Ships (MASS) have gained much attention as a safer and
more efficient mode of transportation and a potential solution to reduce the workload of …

There exist several collision avoidance algorithms for autonomous ships. But the majority of
them do not utilize information about other ships' intentions, except for observed position …

This study presents an approach to enhance human–machine collaboration in autonomous
ship trajectory planning. A decision support system is developed, considering crucial …