Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Searching for Information in the Ocean - Adaptive Sampling of Dynamic Processes in Coastal Areas and Fjords Using Autonomous Underwater Vehicles

Paul G. Allen School via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore adaptive sampling techniques for dynamic ocean processes using autonomous underwater vehicles in this research seminar. Dive into methods for targeted sampling of elusive events like plankton communities in coastal areas and fjords. Learn how Gaussian process modeling and onboard robotic autonomy enable fine-scale volumetric measurements of phytoplankton biomass. Discover the importance of embedded autonomy in creating larger observation networks and coordinating robotic arrays. Gain insights into the challenges of ocean sampling, the potential of AUVs, and the latest advancements in marine robotics and artificial intelligence for ocean observation.

Syllabus

Introduction
Welcome
Presentation Layout
Background
What was your topic
What is your overarching goal
What is your research group
What is your research group doing
The Ocean Lab
Sampling Challenges
Where and When
Using a Traditional Ship
Using 10 navies
Autonomy
How it works
Research
Bird Island
Local Food Web
Results
Recent work
Thank you
Questions
Sensor Design
Neural Network
Questions in the Chat
Sensor sensitivity and specificity
Reducing feature uncertainty
Feature boundary work
Deployment mechanisms
Computational complexity
Verification
Oil Spills

Taught by

Paul G. Allen School

Reviews

Start your review of Searching for Information in the Ocean - Adaptive Sampling of Dynamic Processes in Coastal Areas and Fjords Using Autonomous Underwater Vehicles

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.