Hardware implementation and validation of a traffic road sign detection and identification system View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-06

AUTHORS

Rihab Hmida, Abdessalem Ben Abdelali, Abdellatif Mtibaa

ABSTRACT

Reconfigurability and parallel computing capability of field programmable gate array (FPGA) devices are highly exploited in real-time digital image and video processing applications. In this field, real-time traffic road signs detection systems present a huge interest since they help to assist drivers and decrease accidents. In this paper, we propose an FPGA-based hardware implementation of road signs detection and identification system. The proposed system can achieve real-time video constraints while assuring a high-level accuracy in terms of detection rate. The performance of the system in terms of processing latency was evaluated relatively to the reaction distance, the braking distance and the vehicle speed. The evaluation results show that our system can support real-time driving conditions until the speed of 110 km/h. To prove the validity of the proposed implementation, a hardware co-simulation strategy was applied. This is based on the use of Matlab/Xilinx system generator. A comparison of the co-simulation results shows the effectiveness of the developed architecture. More... »

PAGES

13-30

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11554-016-0579-x

DOI

http://dx.doi.org/10.1007/s11554-016-0579-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1038573565


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Monastir", 
          "id": "https://www.grid.ac/institutes/grid.411838.7", 
          "name": [
            "Laboratory of Electronics and Micro-electronics, University of Monastir, 5000, Monastir, Tunisia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hmida", 
        "givenName": "Rihab", 
        "id": "sg:person.011031102211.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011031102211.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Monastir", 
          "id": "https://www.grid.ac/institutes/grid.411838.7", 
          "name": [
            "Laboratory of Electronics and Micro-electronics, University of Monastir, 5000, Monastir, Tunisia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ben Abdelali", 
        "givenName": "Abdessalem", 
        "id": "sg:person.013231444762.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013231444762.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Monastir", 
          "id": "https://www.grid.ac/institutes/grid.411838.7", 
          "name": [
            "Laboratory of Electronics and Micro-electronics, University of Monastir, 5000, Monastir, Tunisia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mtibaa", 
        "givenName": "Abdellatif", 
        "id": "sg:person.012661166623.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012661166623.16"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.5194/isprsannals-ii-5-1-2014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000184971"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5402/2011/414293", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003786120"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1007081240", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4471-2245-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007081240", 
          "https://doi.org/10.1007/978-1-4471-2245-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4471-2245-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007081240", 
          "https://doi.org/10.1007/978-1-4471-2245-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/3-540-48375-6_70", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007960734", 
          "https://doi.org/10.1007/3-540-48375-6_70"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/3-540-48375-6_70", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007960734", 
          "https://doi.org/10.1007/3-540-48375-6_70"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-15986-2_17", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010292572", 
          "https://doi.org/10.1007/978-3-642-15986-2_17"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-15986-2_17", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010292572", 
          "https://doi.org/10.1007/978-3-642-15986-2_17"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-12101-2_28", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012642805", 
          "https://doi.org/10.1007/978-3-642-12101-2_28"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-12101-2_28", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012642805", 
          "https://doi.org/10.1007/978-3-642-12101-2_28"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.imavis.2008.07.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017692971"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-32937-1_16", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019445961", 
          "https://doi.org/10.1007/978-3-642-32937-1_16"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mejo.2011.01.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024956125"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neunet.2012.02.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035485799"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11554-013-0348-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045196518", 
          "https://doi.org/10.1007/s11554-013-0348-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/11492429_80", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048209380", 
          "https://doi.org/10.1007/11492429_80"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/11492429_80", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048209380", 
          "https://doi.org/10.1007/11492429_80"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4236/jtts.2013.31001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048412441"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.matcom.2012.07.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050808409"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1117/12.300865", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052998455"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/41.649946", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061169293"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tits.2004.828173", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061657305"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tvt.2003.810999", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061818218"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1504/ijcse.2015.067046", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1067444895"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3844/ajassp.2012.231.237", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071455547"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/ivs.2008.4621285", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093557997"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/ivs.2008.4621211", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093633230"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/idt.2008.4802512", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094097417"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/eit.2014.6871793", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094322936"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tencon.2008.4766535", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094567701"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/iceei.2011.6021584", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094793693"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/taai.2010.41", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094826479"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/iros.2004.1389331", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095247264"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/iscas.1999.779951", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095538265"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/ivs.2004.1336446", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095574892"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/ivs.2011.5940539", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095743815"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5244/c.20.76", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099325891"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-06", 
    "datePublishedReg": "2018-06-01", 
    "description": "Reconfigurability and parallel computing capability of field programmable gate array (FPGA) devices are highly exploited in real-time digital image and video processing applications. In this field, real-time traffic road signs detection systems present a huge interest since they help to assist drivers and decrease accidents. In this paper, we propose an FPGA-based hardware implementation of road signs detection and identification system. The proposed system can achieve real-time video constraints while assuring a high-level accuracy in terms of detection rate. The performance of the system in terms of processing latency was evaluated relatively to the reaction distance, the braking distance and the vehicle speed. The evaluation results show that our system can support real-time driving conditions until the speed of 110 km/h. To prove the validity of the proposed implementation, a hardware co-simulation strategy was applied. This is based on the use of Matlab/Xilinx system generator. A comparison of the co-simulation results shows the effectiveness of the developed architecture.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11554-016-0579-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136113", 
        "issn": [
          "1861-8200", 
          "1861-8219"
        ], 
        "name": "Journal of Real-Time Image Processing", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "15"
      }
    ], 
    "name": "Hardware implementation and validation of a traffic road sign detection and identification system", 
    "pagination": "13-30", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "b7bf7a1a2a25cf54cf604093a3b4d7d8ad3268ff3196fc704fcf43fdc1b67e58"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11554-016-0579-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1038573565"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11554-016-0579-x", 
      "https://app.dimensions.ai/details/publication/pub.1038573565"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:32", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000349_0000000349/records_113655_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs11554-016-0579-x"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11554-016-0579-x'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11554-016-0579-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11554-016-0579-x'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11554-016-0579-x'


 

This table displays all metadata directly associated to this object as RDF triples.

180 TRIPLES      21 PREDICATES      60 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11554-016-0579-x schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author Ncf35cca2f41d4aa3aa420cc7a1ea97e1
4 schema:citation sg:pub.10.1007/11492429_80
5 sg:pub.10.1007/3-540-48375-6_70
6 sg:pub.10.1007/978-1-4471-2245-6
7 sg:pub.10.1007/978-3-642-12101-2_28
8 sg:pub.10.1007/978-3-642-15986-2_17
9 sg:pub.10.1007/978-3-642-32937-1_16
10 sg:pub.10.1007/s11554-013-0348-z
11 https://app.dimensions.ai/details/publication/pub.1007081240
12 https://doi.org/10.1016/j.imavis.2008.07.006
13 https://doi.org/10.1016/j.matcom.2012.07.004
14 https://doi.org/10.1016/j.mejo.2011.01.008
15 https://doi.org/10.1016/j.neunet.2012.02.016
16 https://doi.org/10.1109/41.649946
17 https://doi.org/10.1109/eit.2014.6871793
18 https://doi.org/10.1109/iceei.2011.6021584
19 https://doi.org/10.1109/idt.2008.4802512
20 https://doi.org/10.1109/iros.2004.1389331
21 https://doi.org/10.1109/iscas.1999.779951
22 https://doi.org/10.1109/ivs.2004.1336446
23 https://doi.org/10.1109/ivs.2008.4621211
24 https://doi.org/10.1109/ivs.2008.4621285
25 https://doi.org/10.1109/ivs.2011.5940539
26 https://doi.org/10.1109/taai.2010.41
27 https://doi.org/10.1109/tencon.2008.4766535
28 https://doi.org/10.1109/tits.2004.828173
29 https://doi.org/10.1109/tvt.2003.810999
30 https://doi.org/10.1117/12.300865
31 https://doi.org/10.1504/ijcse.2015.067046
32 https://doi.org/10.3844/ajassp.2012.231.237
33 https://doi.org/10.4236/jtts.2013.31001
34 https://doi.org/10.5194/isprsannals-ii-5-1-2014
35 https://doi.org/10.5244/c.20.76
36 https://doi.org/10.5402/2011/414293
37 schema:datePublished 2018-06
38 schema:datePublishedReg 2018-06-01
39 schema:description Reconfigurability and parallel computing capability of field programmable gate array (FPGA) devices are highly exploited in real-time digital image and video processing applications. In this field, real-time traffic road signs detection systems present a huge interest since they help to assist drivers and decrease accidents. In this paper, we propose an FPGA-based hardware implementation of road signs detection and identification system. The proposed system can achieve real-time video constraints while assuring a high-level accuracy in terms of detection rate. The performance of the system in terms of processing latency was evaluated relatively to the reaction distance, the braking distance and the vehicle speed. The evaluation results show that our system can support real-time driving conditions until the speed of 110 km/h. To prove the validity of the proposed implementation, a hardware co-simulation strategy was applied. This is based on the use of Matlab/Xilinx system generator. A comparison of the co-simulation results shows the effectiveness of the developed architecture.
40 schema:genre research_article
41 schema:inLanguage en
42 schema:isAccessibleForFree false
43 schema:isPartOf Nbe2461f7545e440f878de1a8e8592175
44 Nc065534a6c314fbfb4d72fbb81f9d4db
45 sg:journal.1136113
46 schema:name Hardware implementation and validation of a traffic road sign detection and identification system
47 schema:pagination 13-30
48 schema:productId N4df2034d13754e58b659ca081f20beb2
49 Na6b49e66d4514f70be2ae02a71feaa99
50 Ne4f60bc70fc04b6ebb7ea3ef51406a03
51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038573565
52 https://doi.org/10.1007/s11554-016-0579-x
53 schema:sdDatePublished 2019-04-11T10:32
54 schema:sdLicense https://scigraph.springernature.com/explorer/license/
55 schema:sdPublisher N947937aa30c14a298593049249afedf4
56 schema:url https://link.springer.com/10.1007%2Fs11554-016-0579-x
57 sgo:license sg:explorer/license/
58 sgo:sdDataset articles
59 rdf:type schema:ScholarlyArticle
60 N4df2034d13754e58b659ca081f20beb2 schema:name doi
61 schema:value 10.1007/s11554-016-0579-x
62 rdf:type schema:PropertyValue
63 N6b3d294bcba0419d9cbae96bb6838875 rdf:first sg:person.013231444762.12
64 rdf:rest Nf98f4d46240446f6bf2c1de87d36665b
65 N947937aa30c14a298593049249afedf4 schema:name Springer Nature - SN SciGraph project
66 rdf:type schema:Organization
67 Na6b49e66d4514f70be2ae02a71feaa99 schema:name readcube_id
68 schema:value b7bf7a1a2a25cf54cf604093a3b4d7d8ad3268ff3196fc704fcf43fdc1b67e58
69 rdf:type schema:PropertyValue
70 Nbe2461f7545e440f878de1a8e8592175 schema:issueNumber 1
71 rdf:type schema:PublicationIssue
72 Nc065534a6c314fbfb4d72fbb81f9d4db schema:volumeNumber 15
73 rdf:type schema:PublicationVolume
74 Ncf35cca2f41d4aa3aa420cc7a1ea97e1 rdf:first sg:person.011031102211.23
75 rdf:rest N6b3d294bcba0419d9cbae96bb6838875
76 Ne4f60bc70fc04b6ebb7ea3ef51406a03 schema:name dimensions_id
77 schema:value pub.1038573565
78 rdf:type schema:PropertyValue
79 Nf98f4d46240446f6bf2c1de87d36665b rdf:first sg:person.012661166623.16
80 rdf:rest rdf:nil
81 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
82 schema:name Information and Computing Sciences
83 rdf:type schema:DefinedTerm
84 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
85 schema:name Artificial Intelligence and Image Processing
86 rdf:type schema:DefinedTerm
87 sg:journal.1136113 schema:issn 1861-8200
88 1861-8219
89 schema:name Journal of Real-Time Image Processing
90 rdf:type schema:Periodical
91 sg:person.011031102211.23 schema:affiliation https://www.grid.ac/institutes/grid.411838.7
92 schema:familyName Hmida
93 schema:givenName Rihab
94 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011031102211.23
95 rdf:type schema:Person
96 sg:person.012661166623.16 schema:affiliation https://www.grid.ac/institutes/grid.411838.7
97 schema:familyName Mtibaa
98 schema:givenName Abdellatif
99 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012661166623.16
100 rdf:type schema:Person
101 sg:person.013231444762.12 schema:affiliation https://www.grid.ac/institutes/grid.411838.7
102 schema:familyName Ben Abdelali
103 schema:givenName Abdessalem
104 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013231444762.12
105 rdf:type schema:Person
106 sg:pub.10.1007/11492429_80 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048209380
107 https://doi.org/10.1007/11492429_80
108 rdf:type schema:CreativeWork
109 sg:pub.10.1007/3-540-48375-6_70 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007960734
110 https://doi.org/10.1007/3-540-48375-6_70
111 rdf:type schema:CreativeWork
112 sg:pub.10.1007/978-1-4471-2245-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007081240
113 https://doi.org/10.1007/978-1-4471-2245-6
114 rdf:type schema:CreativeWork
115 sg:pub.10.1007/978-3-642-12101-2_28 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012642805
116 https://doi.org/10.1007/978-3-642-12101-2_28
117 rdf:type schema:CreativeWork
118 sg:pub.10.1007/978-3-642-15986-2_17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010292572
119 https://doi.org/10.1007/978-3-642-15986-2_17
120 rdf:type schema:CreativeWork
121 sg:pub.10.1007/978-3-642-32937-1_16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019445961
122 https://doi.org/10.1007/978-3-642-32937-1_16
123 rdf:type schema:CreativeWork
124 sg:pub.10.1007/s11554-013-0348-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1045196518
125 https://doi.org/10.1007/s11554-013-0348-z
126 rdf:type schema:CreativeWork
127 https://app.dimensions.ai/details/publication/pub.1007081240 schema:CreativeWork
128 https://doi.org/10.1016/j.imavis.2008.07.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017692971
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1016/j.matcom.2012.07.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050808409
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1016/j.mejo.2011.01.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024956125
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1016/j.neunet.2012.02.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035485799
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1109/41.649946 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061169293
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1109/eit.2014.6871793 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094322936
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1109/iceei.2011.6021584 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094793693
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1109/idt.2008.4802512 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094097417
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1109/iros.2004.1389331 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095247264
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1109/iscas.1999.779951 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095538265
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1109/ivs.2004.1336446 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095574892
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1109/ivs.2008.4621211 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093633230
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1109/ivs.2008.4621285 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093557997
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1109/ivs.2011.5940539 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095743815
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1109/taai.2010.41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094826479
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1109/tencon.2008.4766535 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094567701
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1109/tits.2004.828173 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061657305
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1109/tvt.2003.810999 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061818218
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1117/12.300865 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052998455
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1504/ijcse.2015.067046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067444895
167 rdf:type schema:CreativeWork
168 https://doi.org/10.3844/ajassp.2012.231.237 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071455547
169 rdf:type schema:CreativeWork
170 https://doi.org/10.4236/jtts.2013.31001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048412441
171 rdf:type schema:CreativeWork
172 https://doi.org/10.5194/isprsannals-ii-5-1-2014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000184971
173 rdf:type schema:CreativeWork
174 https://doi.org/10.5244/c.20.76 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099325891
175 rdf:type schema:CreativeWork
176 https://doi.org/10.5402/2011/414293 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003786120
177 rdf:type schema:CreativeWork
178 https://www.grid.ac/institutes/grid.411838.7 schema:alternateName University of Monastir
179 schema:name Laboratory of Electronics and Micro-electronics, University of Monastir, 5000, Monastir, Tunisia
180 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...