A Prototype for AUV Post-mission Debrief Generation from Metadata

Zhuoran Wang; Helen Hastie

A Prototype for AUV Post-mission Debrief Generation from Metadata

Zhuoran Wang, Helen Hastie

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

A prototype system will be demonstrated that can automatically generate natural language reports from metadata from Autonomous Underwater Vehicles (AUVs). The system takes time-series sensor data, mission logs, together with mission plans as its input, and generates post-mission debriefs for human operators in a concise and easy-to-understand manner. The state-of-the-art systems tackling similar issues are usually designed for simulated environments or can only interpret plans. To the best of our knowledge, this is the first system that directly deals with noise-prone real data from mission logs combined with mission plans.

Original language	English
Title of host publication	Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems
Publisher	Association for Computing Machinery
Pages	1959-1960
Number of pages	2
ISBN (Print)	9781450334136
Publication status	Published - 2015
Event	14th International Conference on Autonomous Agents and Multiagent Systems 2015 - Istanbul Congress Center, Istanbul, Turkey Duration: 4 May 2015 → 8 May 2015

Conference

Conference	14th International Conference on Autonomous Agents and Multiagent Systems 2015
Abbreviated title	AAMAS 2015
Country/Territory	Turkey
City	Istanbul
Period	4/05/15 → 8/05/15

Keywords

AUV behaviour recognition
Metadata
NLG
Sensors

ASJC Scopus subject areas

Artificial Intelligence
Software
Control and Systems Engineering

Cite this

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title = "A Prototype for AUV Post-mission Debrief Generation from Metadata",

abstract = "A prototype system will be demonstrated that can automatically generate natural language reports from metadata from Autonomous Underwater Vehicles (AUVs). The system takes time-series sensor data, mission logs, together with mission plans as its input, and generates post-mission debriefs for human operators in a concise and easy-to-understand manner. The state-of-the-art systems tackling similar issues are usually designed for simulated environments or can only interpret plans. To the best of our knowledge, this is the first system that directly deals with noise-prone real data from mission logs combined with mission plans.",

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pages = "1959--1960",

booktitle = "Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems",

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AU - Hastie, Helen

PY - 2015

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AB - A prototype system will be demonstrated that can automatically generate natural language reports from metadata from Autonomous Underwater Vehicles (AUVs). The system takes time-series sensor data, mission logs, together with mission plans as its input, and generates post-mission debriefs for human operators in a concise and easy-to-understand manner. The state-of-the-art systems tackling similar issues are usually designed for simulated environments or can only interpret plans. To the best of our knowledge, this is the first system that directly deals with noise-prone real data from mission logs combined with mission plans.

KW - AUV behaviour recognition

KW - Metadata

KW - NLG

KW - Sensors

UR - http://www.scopus.com/inward/record.url?scp=84944673104&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84944673104

SN - 9781450334136

SP - 1959

EP - 1960

BT - Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems

PB - Association for Computing Machinery

T2 - 14th International Conference on Autonomous Agents and Multiagent Systems 2015

Y2 - 4 May 2015 through 8 May 2015

ER -

A Prototype for AUV Post-mission Debrief Generation from Metadata

Abstract

Conference

Keywords

ASJC Scopus subject areas

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Cite this