Autonomous Surface Vehicle

A Comprehensive Perception and Decision-making Pipeline for Autonomous Surface Vehicle Navigation in Aquatic Environments

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B3 L5 R5220

This talk addresses the challenges hindering widespread adoption of Autonomous Surface Vehicles (ASV), focusing on safety and robustness, and presents perception and decision-making frameworks, including LiDAR-based obstacle detection, adaptive collision avoidance, and ASV deployment for water quality monitoring, concluding with open problems for future research.

Situational Awareness System for Autonomous Surface Vehicles

Dr. Hyun Taek Choi, Advanced intelligent Ship Research Division, Korea Research Institute of Ships and Ocean Engineering

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B18 Fellowship Hall

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Abstract Recent advancements in robotics algorithms have been made possible by combining probabilistic-based methods with various artificial intelligence technologies. With the support of hardware technologies such as computing power and batteries, autonomous mobility technology has been rapidly advancing across all fields, including land, air, and sea. While marine robots have been somewhat slower to adopt these technologies due to the wide area, various ocean environmental conditions, and their unique characteristics, they have achieved significant advancements in recent years. This