Collision Avoidance

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

Mingi Jeong, Research Assistant, Computer Science, Dartmouth College, USA

Mar 10, 12:00 - 13:00

B3 L5 R5220

Autonomous Surface Vehicle Collision Avoidance environment

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.

Frontiers in Marine Research Robotics

Burton Jones, Professor, Marine Science

May 8, 10:30 - 11:00

B18 Fellowship Hall

Featured Sessions

Marine Robotics Collision Avoidance Autonomous Vehicle Navigation Distributed Robot Systems Networked Robots

Abstract Marine robotics have evolved substantially since the early days of autonomous underwater vehicles which meant a multimillion-dollar vehicle always accompanied by a surface vehicle. An early step forward in scientific vehicles was the development of the buoyancy-driven autonomous underwater vehicles which could stay at sea for months and traverse large distances and depths down to 1000m, albeit slowly. Critical needs exist for vehicles that can map, image and characterize the sea bottom, and for intelligent fleet management schemes. The mesophotic (below diver accessible depths) and