A Semantic Interpreter for Multimodal and Multirobot Data

A Semantic Interpreter for Multimodal and Multirobot Data

Huge natural disaster events can be so devastating that they often overwhelm human rescuers and yet, they seem to occur more often. The TRADR (Long-Term Human-Robot Teaming for Robot Assisted Disaster Response) research project aims at developing methodology for heterogeneous teams composed of human...

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Bibliographic Details
Main Author: Käshammer, Philipp Florian
Format: Others
Language:English
Published: Luleå tekniska universitet, Institutionen för system- och rymdteknik 2016
Subjects:
Semantic Interpreter
TRADR
Robot Assisted Disaster Response
Victim Detection
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-36896
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spelling ndltd-UPSALLA1-oai-DiVA.org-ltu-368962016-10-04T06:21:21ZA Semantic Interpreter for Multimodal and Multirobot DataengKäshammer, Philipp FlorianLuleå tekniska universitet, Institutionen för system- och rymdteknik2016Semantic InterpreterTRADRRobot Assisted Disaster ResponseVictim DetectionHuge natural disaster events can be so devastating that they often overwhelm human rescuers and yet, they seem to occur more often. The TRADR (Long-Term Human-Robot Teaming for Robot Assisted Disaster Response) research project aims at developing methodology for heterogeneous teams composed of human rescuers as well as ground and aerial robots. While the robots swarm the disaster sites, equipped with advanced sensors, they collect a huge amount row-data that cannot be processed efficiently by humans. Therefore, in the frame of the here presented work, a semantic interpreter has been developed that crawls through the raw data, using state of the art object detection algorithms to identify victim targets and extracts all kinds of information that is relevant for rescuers to plan their missions. Subsequently, this information is restructured by a reasoning process and then stored into a high-level database that can be queried accordingly and ensures data constancy. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-36896application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic Semantic Interpreter
TRADR
Robot Assisted Disaster Response
Victim Detection
spellingShingle Semantic Interpreter
TRADR
Robot Assisted Disaster Response
Victim Detection
Käshammer, Philipp Florian
A Semantic Interpreter for Multimodal and Multirobot Data
description Huge natural disaster events can be so devastating that they often overwhelm human rescuers and yet, they seem to occur more often. The TRADR (Long-Term Human-Robot Teaming for Robot Assisted Disaster Response) research project aims at developing methodology for heterogeneous teams composed of human rescuers as well as ground and aerial robots. While the robots swarm the disaster sites, equipped with advanced sensors, they collect a huge amount row-data that cannot be processed efficiently by humans. Therefore, in the frame of the here presented work, a semantic interpreter has been developed that crawls through the raw data, using state of the art object detection algorithms to identify victim targets and extracts all kinds of information that is relevant for rescuers to plan their missions. Subsequently, this information is restructured by a reasoning process and then stored into a high-level database that can be queried accordingly and ensures data constancy.
author Käshammer, Philipp Florian
author_facet Käshammer, Philipp Florian
author_sort Käshammer, Philipp Florian
title A Semantic Interpreter for Multimodal and Multirobot Data
title_short A Semantic Interpreter for Multimodal and Multirobot Data
title_full A Semantic Interpreter for Multimodal and Multirobot Data
title_fullStr A Semantic Interpreter for Multimodal and Multirobot Data
title_full_unstemmed A Semantic Interpreter for Multimodal and Multirobot Data
title_sort semantic interpreter for multimodal and multirobot data
publisher Luleå tekniska universitet, Institutionen för system- och rymdteknik
publishDate 2016
url http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-36896
work_keys_str_mv AT kashammerphilippflorian asemanticinterpreterformultimodalandmultirobotdata
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