Avoiding to face the challenges of visual place recognition

Through this paper, bottlenecks of conventional place recognition techniques are studied, and a replacement strategy is proposed for each item. Conventional place recognition algorithms are extensions of object recognition techniques applied to larger scale targets known as the place landmarks. The...

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Main Authors: Mihankhah, Ehsan, Wang, Danwei
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2019
Subjects:
Online Access:https://hdl.handle.net/10356/88443
http://hdl.handle.net/10220/49440
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-884432020-03-07T13:24:45Z Avoiding to face the challenges of visual place recognition Mihankhah, Ehsan Wang, Danwei School of Electrical and Electronic Engineering Intelligent Systems Conference 2018 (IntelliSys 2018) Engineering::Electrical and electronic engineering Place Detection Place Recognition Through this paper, bottlenecks of conventional place recognition techniques are studied, and a replacement strategy is proposed for each item. Conventional place recognition algorithms are extensions of object recognition techniques applied to larger scale targets known as the place landmarks. The discussion presented in this paper aims to address the challenges of detection and recognition of the places, which make this topic distinctive from detection and recognition of the objects and landmarks. The challenges are listed under related categories. The table of challenges, reasons, and the recommendations to avoid these situations is presented as the guideline for selection of proper tools for place recognition purpose. Accepted version 2019-07-19T01:58:37Z 2019-12-06T17:03:27Z 2019-07-19T01:58:37Z 2019-12-06T17:03:27Z 2018-09-01 2019 Conference Paper Mihankhah, E., & Wang, D. (2018). Avoiding to face the challenges of visual place recognition. Intelligent Systems Conference 2018 (IntelliSys 2018). doi:10.1007/978-3-030-01054-6_52 https://hdl.handle.net/10356/88443 http://hdl.handle.net/10220/49440 10.1007/978-3-030-01054-6_52 205044 en © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1007/978-3-030-01054-6_52 7 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Place Detection
Place Recognition
spellingShingle Engineering::Electrical and electronic engineering
Place Detection
Place Recognition
Mihankhah, Ehsan
Wang, Danwei
Avoiding to face the challenges of visual place recognition
description Through this paper, bottlenecks of conventional place recognition techniques are studied, and a replacement strategy is proposed for each item. Conventional place recognition algorithms are extensions of object recognition techniques applied to larger scale targets known as the place landmarks. The discussion presented in this paper aims to address the challenges of detection and recognition of the places, which make this topic distinctive from detection and recognition of the objects and landmarks. The challenges are listed under related categories. The table of challenges, reasons, and the recommendations to avoid these situations is presented as the guideline for selection of proper tools for place recognition purpose.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Mihankhah, Ehsan
Wang, Danwei
format Conference or Workshop Item
author Mihankhah, Ehsan
Wang, Danwei
author_sort Mihankhah, Ehsan
title Avoiding to face the challenges of visual place recognition
title_short Avoiding to face the challenges of visual place recognition
title_full Avoiding to face the challenges of visual place recognition
title_fullStr Avoiding to face the challenges of visual place recognition
title_full_unstemmed Avoiding to face the challenges of visual place recognition
title_sort avoiding to face the challenges of visual place recognition
publishDate 2019
url https://hdl.handle.net/10356/88443
http://hdl.handle.net/10220/49440
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