Blar i NTNU Open på forfatter "Meyer, Eivind"
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COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle using Deep Reinforcement Learning
Meyer, Eivind; Heiberg, Amalie; Rasheed, Adil; San, Omer (Peer reviewed; Journal article, 2020)Path Following and Collision Avoidance, be it for unmanned surface vessels or other autonomous vehicles, are two fundamental guidance problems in robotics. For many decades, they have been subject to academic study, leading ... -
On Course Towards Model-Free Guidance: A Self-Learning Approach To Dynamic Collision Avoidance for Autonomous Surface Vehicles
Meyer, Eivind (Master thesis, 2020)I denne masteroppgåva vart det demonstrert at djup forsterkande læring (engelsk: Deep Reinforcement Learning / DRL) kan nyttast for å trena eit reaktivt, autonomt fartøy utstyrt med påmonterte avstandssensorar til å navigera ... -
Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning
Heiberg, Amalie; Larsen, Thomas Nakken; Meyer, Eivind; Rasheed, Adil; San, Omer; Varagnolo, Damiano (Peer reviewed; Journal article, 2022)Autonomous systems are becoming ubiquitous and gaining momentum within the marine sector. Since the electrification of transport is happening simultaneously, autonomous marine vessels can reduce environmental impact, lower ... -
Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning
Meyer, Eivind; Robinson, Haakon; Rasheed, Adil; San, Omer (Peer reviewed; Journal article, 2020)In this article, we explore the feasibility of applying proximal policy optimization, a state-of-the-art deep reinforcement learning algorithm for continuous control tasks, on the dual-objective problem of controlling an ... -
Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning
Meyer, Eivind; Robinson, Haakon; Rasheed, Adil; San, Omer (Peer reviewed; Journal article, 2020)In this article, we explore the feasibility of applying proximal policy optimization, a state-of-the-art deep reinforcement learning algorithm for continuous control tasks, on the dual-objective problem of controlling an ...