A Prototype for AUV Post-mission Debrief Generation from Metadata

Zhuoran Wang, Helen Hastie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

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 languageEnglish
Title of host publicationProceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems
PublisherAssociation for Computing Machinery
Pages1959-1960
Number of pages2
ISBN (Print)9781450334136
Publication statusPublished - 2015
Event14th International Conference on Autonomous Agents and Multiagent Systems 2015 - Istanbul Congress Center, Istanbul, Turkey
Duration: 4 May 20158 May 2015

Conference

Conference14th International Conference on Autonomous Agents and Multiagent Systems 2015
Abbreviated titleAAMAS 2015
CountryTurkey
CityIstanbul
Period4/05/158/05/15

Keywords

  • AUV behaviour recognition
  • Metadata
  • NLG
  • Sensors

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Control and Systems Engineering

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  • Cite this

    Wang, Z., & Hastie, H. (2015). A Prototype for AUV Post-mission Debrief Generation from Metadata. In Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems (pp. 1959-1960). Association for Computing Machinery.