Paul Rigby — accepted AI-conference papers

2020

A Feature-Based Underwater Path Planning Approach using Multiple Perspective Prior Maps

Daniel Cagara, Matthew Dunbabin, Paul Rigby

ICRA 2020poster

This paper presents a path planning methodology which enables Autonomous Underwater Vehicles (AUVs) to navigate in shallow complex environments such as coral reefs. The approach leverages prior information from an aerial photographic survey, and derived bathymetric information of the corresponding a…

Cited by 1 Source ↗Scholar ↗

2019

Improving Underwater Obstacle Detection using Semantic Image Segmentation

Bilal Arain, Chris McCool, Paul Rigby, Daniel Cagara, Matthew Dunbabin

ICRA 2019poster

This paper presents two novel approaches for improving image-based underwater obstacle detection by combining sparse stereo point clouds with monocular semantic image segmentation. Generating accurate image-based obstacle maps in cluttered underwater environments, such as coral reefs, are essential…

Cited by 37 Source ↗Scholar ↗