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https://doi.org/10.1109/ssrr.2...
Article . 2016 . Peer-reviewed
Data sources: Crossref
ETH Zürich Research Collection
Conference object . 2016
Data sources: Datacite
DBLP
Conference object
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3D localization, mapping and path planning for search and rescue operations

Authors: Renaud Dubé; Abel Gawel; Cesar Cadena 0001; Roland Siegwart; Luigi Freda; Mario Gianni;

3D localization, mapping and path planning for search and rescue operations

Abstract

This work presents our results on 3D robot localization, mapping and path planning for the latest joint exercise of the European project 'Long-Term Human-Robot Teaming for Robots Assisted Disaster Response' (TRADR)¹. The full system is operated and evaluated by firemen end-users in real-world search and rescue experiments. We demonstrate that the system is able to plan a path to a goal position desired by the fireman operator in the TRADR Operational Control Unit (OCU), using a persistent 3D map created by the robot during previous sorties.

Countries
Italy, Switzerland
Keywords

COMPUTER VISION + SCENE UNDERSTANDING (ARTIFICIAL INTELLIGENCE); ROBOTERSEHEN; ROBOT VISION; COMPUTERVISION (KÜNSTLICHE INTELLIGENZ), info:eu-repo/classification/ddc/621.3, Electric engineering, ROBOT VISION, COMPUTER VISION + SCENE UNDERSTANDING (ARTIFICIAL INTELLIGENCE), ROBOTERSEHEN, Human computer interaction; Mapping; Motion planning; Robot applications; 3D Localization, COMPUTERVISION (KÜNSTLICHE INTELLIGENZ)

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    13
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Top 10%
Top 10%
Green