Coal flow detection method for conveyor belt based on TOF depth image restoration Article Swipe
Xin-yue WANG
,
Tiezhu Qiao
,
Yusong Pang
,
Gaowei Yan
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.13272/j.issn.1671-251x.2021080018
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.13272/j.issn.1671-251x.2021080018
In the traditional belt conveyor coal flow detection device, the nuclear belt scale has certain safety and environmental protection hidden dangers, and the detection precision of electronic belt scale is easily affected by the factors such as belt tension and stiffness. Moreover, non-contact detection methods based on technologies such as ultrasound, linear laser stripes and binocular vision have problems such as poor real-time performance and large measurement errors. A coal flow detection method for conveyor belt based on time-of-flight(TOF) depth image restoration is proposed. The TOF camera is used to obtain the coal conveying image of the conveyor belt. The TOF image is equalized, and the frame difference method and the boundary following algorithm are used to remove the background noise and obtain the coal region of interest. In order to solve the problem of inaccurate edge information caused by flying pixel noise and multi-path error noise at the edge of TOF depth image, the intensity image-guided depth image restoration algorithm is proposed. The Canny edge detection algorithm is used to find similar edges between the depth image and the intensity image. Based on the effective edge information of the intensity image, the unreliable data of the edge of the depth image is corrected. Furthermore, the high-precision depth images are obtained based on Navier-Stokes equation and median filter. The coal area is divided at the pixel level, the coal volume calculation model is established to obtain coal flow of conveyor belt by combining the conveyor belt speed. The experimental results show that the detection error is less than 3.78%, the standard deviation is less than 0.491 and the average processing time is 83 ms, which meets the actual production requirements.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doaj.org/article/36ace12650094fffbe6fe236188939b9
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4226417559
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4226417559Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.13272/j.issn.1671-251x.2021080018Digital Object Identifier
- Title
-
Coal flow detection method for conveyor belt based on TOF depth image restorationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-01-01Full publication date if available
- Authors
-
Xin-yue WANG, Tiezhu Qiao, Yusong Pang, Gaowei YanList of authors in order
- Landing page
-
https://doaj.org/article/36ace12650094fffbe6fe236188939b9Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doaj.org/article/7bf539e3f9da49fb919f5b7a21e8ad44Direct OA link when available
- Concepts
-
Coal, Conveyor belt, Flow (mathematics), Mining engineering, Coal mining, Geology, Environmental science, Belt conveyor, Computer science, Petroleum engineering, Remote sensing, Engineering, Mathematics, Waste management, Mechanical engineering, GeometryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4226417559 |
|---|---|
| doi | https://doi.org/10.13272/j.issn.1671-251x.2021080018 |
| ids.openalex | https://openalex.org/W4226417559 |
| fwci | 0.0 |
| type | article |
| title | Coal flow detection method for conveyor belt based on TOF depth image restoration |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T13341 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.998199999332428 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2210 |
| topics[0].subfield.display_name | Mechanical Engineering |
| topics[0].display_name | Belt Conveyor Systems Engineering |
| topics[1].id | https://openalex.org/T11301 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.9929999709129333 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2204 |
| topics[1].subfield.display_name | Biomedical Engineering |
| topics[1].display_name | Advanced Surface Polishing Techniques |
| topics[2].id | https://openalex.org/T13715 |
| topics[2].field.id | https://openalex.org/fields/22 |
| topics[2].field.display_name | Engineering |
| topics[2].score | 0.9908000230789185 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2210 |
| topics[2].subfield.display_name | Mechanical Engineering |
| topics[2].display_name | Power Line Inspection Robots |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C518851703 |
| concepts[0].level | 2 |
| concepts[0].score | 0.5753408074378967 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q24489 |
| concepts[0].display_name | Coal |
| concepts[1].id | https://openalex.org/C2777709985 |
| concepts[1].level | 2 |
| concepts[1].score | 0.539151668548584 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q770135 |
| concepts[1].display_name | Conveyor belt |
| concepts[2].id | https://openalex.org/C38349280 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5082242488861084 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q1434290 |
| concepts[2].display_name | Flow (mathematics) |
| concepts[3].id | https://openalex.org/C16674752 |
| concepts[3].level | 1 |
| concepts[3].score | 0.4901881814002991 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q1370637 |
| concepts[3].display_name | Mining engineering |
| concepts[4].id | https://openalex.org/C108615695 |
| concepts[4].level | 3 |
| concepts[4].score | 0.4772638976573944 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q12880211 |
| concepts[4].display_name | Coal mining |
| concepts[5].id | https://openalex.org/C127313418 |
| concepts[5].level | 0 |
| concepts[5].score | 0.4380279779434204 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q1069 |
| concepts[5].display_name | Geology |
| concepts[6].id | https://openalex.org/C39432304 |
| concepts[6].level | 0 |
| concepts[6].score | 0.42193326354026794 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q188847 |
| concepts[6].display_name | Environmental science |
| concepts[7].id | https://openalex.org/C2986611964 |
| concepts[7].level | 2 |
| concepts[7].score | 0.4188717007637024 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q770135 |
| concepts[7].display_name | Belt conveyor |
| concepts[8].id | https://openalex.org/C41008148 |
| concepts[8].level | 0 |
| concepts[8].score | 0.3971271216869354 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[8].display_name | Computer science |
| concepts[9].id | https://openalex.org/C78762247 |
| concepts[9].level | 1 |
| concepts[9].score | 0.39052122831344604 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q1273174 |
| concepts[9].display_name | Petroleum engineering |
| concepts[10].id | https://openalex.org/C62649853 |
| concepts[10].level | 1 |
| concepts[10].score | 0.3443868160247803 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q199687 |
| concepts[10].display_name | Remote sensing |
| concepts[11].id | https://openalex.org/C127413603 |
| concepts[11].level | 0 |
| concepts[11].score | 0.2026086151599884 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[11].display_name | Engineering |
| concepts[12].id | https://openalex.org/C33923547 |
| concepts[12].level | 0 |
| concepts[12].score | 0.15591192245483398 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[12].display_name | Mathematics |
| concepts[13].id | https://openalex.org/C548081761 |
| concepts[13].level | 1 |
| concepts[13].score | 0.1410014033317566 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q180388 |
| concepts[13].display_name | Waste management |
| concepts[14].id | https://openalex.org/C78519656 |
| concepts[14].level | 1 |
| concepts[14].score | 0.11893343925476074 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q101333 |
| concepts[14].display_name | Mechanical engineering |
| concepts[15].id | https://openalex.org/C2524010 |
| concepts[15].level | 1 |
| concepts[15].score | 0.04261660575866699 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q8087 |
| concepts[15].display_name | Geometry |
| keywords[0].id | https://openalex.org/keywords/coal |
| keywords[0].score | 0.5753408074378967 |
| keywords[0].display_name | Coal |
| keywords[1].id | https://openalex.org/keywords/conveyor-belt |
| keywords[1].score | 0.539151668548584 |
| keywords[1].display_name | Conveyor belt |
| keywords[2].id | https://openalex.org/keywords/flow |
| keywords[2].score | 0.5082242488861084 |
| keywords[2].display_name | Flow (mathematics) |
| keywords[3].id | https://openalex.org/keywords/mining-engineering |
| keywords[3].score | 0.4901881814002991 |
| keywords[3].display_name | Mining engineering |
| keywords[4].id | https://openalex.org/keywords/coal-mining |
| keywords[4].score | 0.4772638976573944 |
| keywords[4].display_name | Coal mining |
| keywords[5].id | https://openalex.org/keywords/geology |
| keywords[5].score | 0.4380279779434204 |
| keywords[5].display_name | Geology |
| keywords[6].id | https://openalex.org/keywords/environmental-science |
| keywords[6].score | 0.42193326354026794 |
| keywords[6].display_name | Environmental science |
| keywords[7].id | https://openalex.org/keywords/belt-conveyor |
| keywords[7].score | 0.4188717007637024 |
| keywords[7].display_name | Belt conveyor |
| keywords[8].id | https://openalex.org/keywords/computer-science |
| keywords[8].score | 0.3971271216869354 |
| keywords[8].display_name | Computer science |
| keywords[9].id | https://openalex.org/keywords/petroleum-engineering |
| keywords[9].score | 0.39052122831344604 |
| keywords[9].display_name | Petroleum engineering |
| keywords[10].id | https://openalex.org/keywords/remote-sensing |
| keywords[10].score | 0.3443868160247803 |
| keywords[10].display_name | Remote sensing |
| keywords[11].id | https://openalex.org/keywords/engineering |
| keywords[11].score | 0.2026086151599884 |
| keywords[11].display_name | Engineering |
| keywords[12].id | https://openalex.org/keywords/mathematics |
| keywords[12].score | 0.15591192245483398 |
| keywords[12].display_name | Mathematics |
| keywords[13].id | https://openalex.org/keywords/waste-management |
| keywords[13].score | 0.1410014033317566 |
| keywords[13].display_name | Waste management |
| keywords[14].id | https://openalex.org/keywords/mechanical-engineering |
| keywords[14].score | 0.11893343925476074 |
| keywords[14].display_name | Mechanical engineering |
| keywords[15].id | https://openalex.org/keywords/geometry |
| keywords[15].score | 0.04261660575866699 |
| keywords[15].display_name | Geometry |
| language | en |
| locations[0].id | pmh:oai:doaj.org/article:36ace12650094fffbe6fe236188939b9 |
| locations[0].is_oa | False |
| locations[0].source.id | https://openalex.org/S4306401280 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[0].source.host_organization | |
| locations[0].source.host_organization_name | |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | submittedVersion |
| locations[0].raw_type | article |
| locations[0].license_id | |
| locations[0].is_accepted | False |
| locations[0].is_published | False |
| locations[0].raw_source_name | Gong-kuang zidonghua, Vol 48, Iss 1, Pp 40-44 (2022) |
| locations[0].landing_page_url | https://doaj.org/article/36ace12650094fffbe6fe236188939b9 |
| locations[1].id | pmh:oai:doaj.org/article:7bf539e3f9da49fb919f5b7a21e8ad44 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306401280 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[1].source.host_organization | |
| locations[1].source.host_organization_name | |
| locations[1].license | cc-by-sa |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | article |
| locations[1].license_id | https://openalex.org/licenses/cc-by-sa |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | Gong-kuang zidonghua, Vol 48, Iss 1, Pp 40-44 (2022) |
| locations[1].landing_page_url | https://doaj.org/article/7bf539e3f9da49fb919f5b7a21e8ad44 |
| indexed_in | doaj |
| authorships[0].author.id | https://openalex.org/A5059058190 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Xin-yue WANG |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I9086337 |
| authorships[0].affiliations[0].raw_affiliation_string | 1.Key Laboratory of Advanced Transducers and Intelligent Control System, Ministry of Education, Taiyuan University of Technology, Taiyuan 030024, China; 2.College of Physics and Optoelectronics, Taiyuan University of Technology, Taiyuan 030024, China |
| authorships[0].institutions[0].id | https://openalex.org/I9086337 |
| authorships[0].institutions[0].ror | https://ror.org/03kv08d37 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I9086337 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | Taiyuan University of Technology |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | WANG Xinyue1,2 |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | 1.Key Laboratory of Advanced Transducers and Intelligent Control System, Ministry of Education, Taiyuan University of Technology, Taiyuan 030024, China; 2.College of Physics and Optoelectronics, Taiyuan University of Technology, Taiyuan 030024, China |
| authorships[1].author.id | https://openalex.org/A5009831129 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-7165-2207 |
| authorships[1].author.display_name | Tiezhu Qiao |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I9086337 |
| authorships[1].affiliations[0].raw_affiliation_string | 1.Key Laboratory of Advanced Transducers and Intelligent Control System, Ministry of Education, Taiyuan University of Technology, Taiyuan 030024, China; 2.College of Physics and Optoelectronics, Taiyuan University of Technology, Taiyuan 030024, China |
| authorships[1].institutions[0].id | https://openalex.org/I9086337 |
| authorships[1].institutions[0].ror | https://ror.org/03kv08d37 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I9086337 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | Taiyuan University of Technology |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | QIAO Tiezhu1,2 |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | 1.Key Laboratory of Advanced Transducers and Intelligent Control System, Ministry of Education, Taiyuan University of Technology, Taiyuan 030024, China; 2.College of Physics and Optoelectronics, Taiyuan University of Technology, Taiyuan 030024, China |
| authorships[2].author.id | https://openalex.org/A5050050751 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-8094-3436 |
| authorships[2].author.display_name | Yusong Pang |
| authorships[2].countries | NL |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I98358874 |
| authorships[2].affiliations[0].raw_affiliation_string | 3.Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, 2628 CD Delft, Netherlands |
| authorships[2].institutions[0].id | https://openalex.org/I98358874 |
| authorships[2].institutions[0].ror | https://ror.org/02e2c7k09 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I98358874 |
| authorships[2].institutions[0].country_code | NL |
| authorships[2].institutions[0].display_name | Delft University of Technology |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | PANG Yusong3 |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | 3.Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, 2628 CD Delft, Netherlands |
| authorships[3].author.id | https://openalex.org/A5065852771 |
| authorships[3].author.orcid | https://orcid.org/0000-0001-9714-0971 |
| authorships[3].author.display_name | Gaowei Yan |
| authorships[3].countries | CN |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I9086337 |
| authorships[3].affiliations[0].raw_affiliation_string | 4.College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan 030024, China |
| authorships[3].institutions[0].id | https://openalex.org/I9086337 |
| authorships[3].institutions[0].ror | https://ror.org/03kv08d37 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I9086337 |
| authorships[3].institutions[0].country_code | CN |
| authorships[3].institutions[0].display_name | Taiyuan University of Technology |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | YAN Gaowei4 |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | 4.College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan 030024, China |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doaj.org/article/7bf539e3f9da49fb919f5b7a21e8ad44 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Coal flow detection method for conveyor belt based on TOF depth image restoration |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T13341 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.998199999332428 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2210 |
| primary_topic.subfield.display_name | Mechanical Engineering |
| primary_topic.display_name | Belt Conveyor Systems Engineering |
| related_works | https://openalex.org/W2002745433, https://openalex.org/W2375677716, https://openalex.org/W2365913310, https://openalex.org/W2372685478, https://openalex.org/W2360414980, https://openalex.org/W3203536437, https://openalex.org/W2375599394, https://openalex.org/W2055387704, https://openalex.org/W2360530914, https://openalex.org/W2377388210 |
| cited_by_count | 0 |
| locations_count | 2 |
| best_oa_location.id | pmh:oai:doaj.org/article:7bf539e3f9da49fb919f5b7a21e8ad44 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306401280 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| best_oa_location.source.host_organization | |
| best_oa_location.source.host_organization_name | |
| best_oa_location.license | cc-by-sa |
| best_oa_location.pdf_url | |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by-sa |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | Gong-kuang zidonghua, Vol 48, Iss 1, Pp 40-44 (2022) |
| best_oa_location.landing_page_url | https://doaj.org/article/7bf539e3f9da49fb919f5b7a21e8ad44 |
| primary_location.id | pmh:oai:doaj.org/article:36ace12650094fffbe6fe236188939b9 |
| primary_location.is_oa | False |
| primary_location.source.id | https://openalex.org/S4306401280 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| primary_location.source.host_organization | |
| primary_location.source.host_organization_name | |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | submittedVersion |
| primary_location.raw_type | article |
| primary_location.license_id | |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | Gong-kuang zidonghua, Vol 48, Iss 1, Pp 40-44 (2022) |
| primary_location.landing_page_url | https://doaj.org/article/36ace12650094fffbe6fe236188939b9 |
| publication_date | 2022-01-01 |
| publication_year | 2022 |
| referenced_works_count | 0 |
| abstract_inverted_index.A | 68 |
| abstract_inverted_index.83 | 272 |
| abstract_inverted_index.In | 0, 128 |
| abstract_inverted_index.as | 36, 49, 60 |
| abstract_inverted_index.at | 147, 223 |
| abstract_inverted_index.by | 32, 139, 241 |
| abstract_inverted_index.is | 29, 82, 87, 102, 161, 168, 202, 221, 232, 255, 262, 271 |
| abstract_inverted_index.of | 25, 95, 126, 134, 150, 188, 195, 198, 238 |
| abstract_inverted_index.on | 46, 77, 183, 212 |
| abstract_inverted_index.to | 89, 116, 130, 170, 234 |
| abstract_inverted_index.TOF | 85, 100, 151 |
| abstract_inverted_index.The | 84, 99, 163, 218, 247 |
| abstract_inverted_index.and | 16, 21, 39, 54, 64, 104, 109, 121, 143, 178, 215, 266 |
| abstract_inverted_index.are | 114, 209 |
| abstract_inverted_index.for | 73 |
| abstract_inverted_index.has | 13 |
| abstract_inverted_index.ms, | 273 |
| abstract_inverted_index.the | 1, 9, 22, 33, 91, 96, 105, 110, 118, 123, 132, 148, 154, 175, 179, 184, 189, 192, 196, 199, 205, 224, 227, 243, 252, 259, 267, 276 |
| abstract_inverted_index.area | 220 |
| abstract_inverted_index.belt | 3, 11, 27, 37, 75, 240, 245 |
| abstract_inverted_index.coal | 5, 69, 92, 124, 219, 228, 236 |
| abstract_inverted_index.data | 194 |
| abstract_inverted_index.edge | 136, 149, 165, 186, 197 |
| abstract_inverted_index.find | 171 |
| abstract_inverted_index.flow | 6, 70, 237 |
| abstract_inverted_index.have | 57 |
| abstract_inverted_index.less | 256, 263 |
| abstract_inverted_index.poor | 61 |
| abstract_inverted_index.show | 250 |
| abstract_inverted_index.such | 35, 48, 59 |
| abstract_inverted_index.than | 257, 264 |
| abstract_inverted_index.that | 251 |
| abstract_inverted_index.time | 270 |
| abstract_inverted_index.used | 88, 115, 169 |
| abstract_inverted_index.0.491 | 265 |
| abstract_inverted_index.Based | 182 |
| abstract_inverted_index.Canny | 164 |
| abstract_inverted_index.based | 45, 76, 211 |
| abstract_inverted_index.belt. | 98 |
| abstract_inverted_index.depth | 79, 152, 157, 176, 200, 207 |
| abstract_inverted_index.edges | 173 |
| abstract_inverted_index.error | 145, 254 |
| abstract_inverted_index.frame | 106 |
| abstract_inverted_index.image | 80, 94, 101, 158, 177, 201 |
| abstract_inverted_index.large | 65 |
| abstract_inverted_index.laser | 52 |
| abstract_inverted_index.meets | 275 |
| abstract_inverted_index.model | 231 |
| abstract_inverted_index.noise | 120, 142, 146 |
| abstract_inverted_index.order | 129 |
| abstract_inverted_index.pixel | 141, 225 |
| abstract_inverted_index.scale | 12, 28 |
| abstract_inverted_index.solve | 131 |
| abstract_inverted_index.which | 274 |
| abstract_inverted_index.3.78%, | 258 |
| abstract_inverted_index.actual | 277 |
| abstract_inverted_index.camera | 86 |
| abstract_inverted_index.caused | 138 |
| abstract_inverted_index.easily | 30 |
| abstract_inverted_index.flying | 140 |
| abstract_inverted_index.hidden | 19 |
| abstract_inverted_index.image, | 153, 191 |
| abstract_inverted_index.image. | 181 |
| abstract_inverted_index.images | 208 |
| abstract_inverted_index.level, | 226 |
| abstract_inverted_index.linear | 51 |
| abstract_inverted_index.median | 216 |
| abstract_inverted_index.method | 72, 108 |
| abstract_inverted_index.obtain | 90, 122, 235 |
| abstract_inverted_index.region | 125 |
| abstract_inverted_index.remove | 117 |
| abstract_inverted_index.safety | 15 |
| abstract_inverted_index.speed. | 246 |
| abstract_inverted_index.vision | 56 |
| abstract_inverted_index.volume | 229 |
| abstract_inverted_index.average | 268 |
| abstract_inverted_index.between | 174 |
| abstract_inverted_index.certain | 14 |
| abstract_inverted_index.device, | 8 |
| abstract_inverted_index.divided | 222 |
| abstract_inverted_index.errors. | 67 |
| abstract_inverted_index.factors | 34 |
| abstract_inverted_index.filter. | 217 |
| abstract_inverted_index.methods | 44 |
| abstract_inverted_index.nuclear | 10 |
| abstract_inverted_index.problem | 133 |
| abstract_inverted_index.results | 249 |
| abstract_inverted_index.similar | 172 |
| abstract_inverted_index.stripes | 53 |
| abstract_inverted_index.tension | 38 |
| abstract_inverted_index.affected | 31 |
| abstract_inverted_index.boundary | 111 |
| abstract_inverted_index.conveyor | 4, 74, 97, 239, 244 |
| abstract_inverted_index.dangers, | 20 |
| abstract_inverted_index.equation | 214 |
| abstract_inverted_index.obtained | 210 |
| abstract_inverted_index.problems | 58 |
| abstract_inverted_index.standard | 260 |
| abstract_inverted_index.Moreover, | 41 |
| abstract_inverted_index.algorithm | 113, 160, 167 |
| abstract_inverted_index.binocular | 55 |
| abstract_inverted_index.combining | 242 |
| abstract_inverted_index.conveying | 93 |
| abstract_inverted_index.detection | 7, 23, 43, 71, 166, 253 |
| abstract_inverted_index.deviation | 261 |
| abstract_inverted_index.effective | 185 |
| abstract_inverted_index.following | 112 |
| abstract_inverted_index.intensity | 155, 180, 190 |
| abstract_inverted_index.interest. | 127 |
| abstract_inverted_index.precision | 24 |
| abstract_inverted_index.proposed. | 83, 162 |
| abstract_inverted_index.real-time | 62 |
| abstract_inverted_index.background | 119 |
| abstract_inverted_index.corrected. | 203 |
| abstract_inverted_index.difference | 107 |
| abstract_inverted_index.electronic | 26 |
| abstract_inverted_index.equalized, | 103 |
| abstract_inverted_index.inaccurate | 135 |
| abstract_inverted_index.multi-path | 144 |
| abstract_inverted_index.processing | 269 |
| abstract_inverted_index.production | 278 |
| abstract_inverted_index.protection | 18 |
| abstract_inverted_index.stiffness. | 40 |
| abstract_inverted_index.unreliable | 193 |
| abstract_inverted_index.calculation | 230 |
| abstract_inverted_index.established | 233 |
| abstract_inverted_index.information | 137, 187 |
| abstract_inverted_index.measurement | 66 |
| abstract_inverted_index.non-contact | 42 |
| abstract_inverted_index.performance | 63 |
| abstract_inverted_index.restoration | 81, 159 |
| abstract_inverted_index.traditional | 2 |
| abstract_inverted_index.ultrasound, | 50 |
| abstract_inverted_index.Furthermore, | 204 |
| abstract_inverted_index.experimental | 248 |
| abstract_inverted_index.image-guided | 156 |
| abstract_inverted_index.technologies | 47 |
| abstract_inverted_index.Navier-Stokes | 213 |
| abstract_inverted_index.environmental | 17 |
| abstract_inverted_index.requirements. | 279 |
| abstract_inverted_index.high-precision | 206 |
| abstract_inverted_index.time-of-flight(TOF) | 78 |
| cited_by_percentile_year | |
| countries_distinct_count | 2 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.04267478 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |