Natural UAV tele-operation for agricultural application by using Kinect sensor Article Swipe
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.25165/ijabe.v11i4.4096
Remote-controlled (RC) unmanned aerial vehicles (UAVs) have been extensively applied in agricultural areas, such as remote sensing, precise spraying pesticides for crop protection, agricultural situation inspection and so on, but these telemanipulated UAVs systems are operated entirely by a ground-based pilot with a need of eyes focus on the remote site UAV flight. The key issue existed in agricultural UAV teleoperation area is a longtime training needed. In this paper, a novel natural UAV teleoperation control system in agricultural application was proposed. In UAV teleoperation scenario, human operator gestures measured by using Kinect sensor can be used as control commands for UAV flight. Moreover, some UAV teleoperation control commands related to human hand gestures were defined, which is similar to the radio gymnastic exercises in China. Therefore, gesture recognition-based UAV teleoperation control is easy to learn and master. In addition, a new real time human hand gesture recognition algorithm was proposed. The stability of UAV flight dynamic of roll, pitch and yaw as well as attitude control were verified with the experiments based on the proposed method. At last, the usability and effectiveness of the proposed method has been verified by the experimental results. Keywords: gesture recognition, human pose estimation, depth image, skeleton tracking, teleoperation, unmanned aerial vehicle (UAV) DOI: 10.25165/j.ijabe.20181104.4096 Citation: Yin X C, Lan Y B, Wen S, Zhang J T, Wu S F. Natural UAV tele-operation for agricultural application by using Kinect sensor. Int J Agric & Biol Eng, 2018; 11(4): 173-178.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://ijabe.org/index.php/ijabe/article/view/4096
- OA Status
- green
- Cited By
- 1
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W2887927153
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2887927153Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.25165/ijabe.v11i4.4096Digital Object Identifier
- Title
-
Natural UAV tele-operation for agricultural application by using Kinect sensorWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2018Year of publication
- Publication date
-
2018-08-08Full publication date if available
- Authors
-
Xuanchun Yin, Yubin Lan, Sheng Wen, Jiantao Zhang, Shifan WuList of authors in order
- Landing page
-
https://ijabe.org/index.php/ijabe/article/view/4096Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://ijabe.org/index.php/ijabe/article/view/4096Direct OA link when available
- Concepts
-
Teleoperation, Gesture, Computer vision, Gesture recognition, Usability, Remote control, Artificial intelligence, Computer science, Engineering, Simulation, Real-time computing, Control (management), Human–computer interaction, Computer hardwareTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2020: 1Per-year citation counts (last 5 years)
- Related works (count)
-
20Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W2887927153 |
|---|---|
| doi | https://doi.org/10.25165/ijabe.v11i4.4096 |
| ids.mag | 2887927153 |
| ids.openalex | https://openalex.org/W2887927153 |
| fwci | 0.19856246 |
| type | article |
| title | Natural UAV tele-operation for agricultural application by using Kinect sensor |
| biblio.issue | 4 |
| biblio.volume | 11 |
| biblio.last_page | 178 |
| biblio.first_page | 173 |
| topics[0].id | https://openalex.org/T14413 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.8668000102043152 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1702 |
| topics[0].subfield.display_name | Artificial Intelligence |
| topics[0].display_name | Advanced Technologies in Various Fields |
| topics[1].id | https://openalex.org/T14155 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.8222000002861023 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1710 |
| topics[1].subfield.display_name | Information Systems |
| topics[1].display_name | Advanced Technology in Applications |
| topics[2].id | https://openalex.org/T13382 |
| topics[2].field.id | https://openalex.org/fields/22 |
| topics[2].field.display_name | Engineering |
| topics[2].score | 0.8012999892234802 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2207 |
| topics[2].subfield.display_name | Control and Systems Engineering |
| topics[2].display_name | Robotics and Automated Systems |
| is_xpac | False |
| apc_list.value | 1000 |
| apc_list.currency | USD |
| apc_list.value_usd | 1000 |
| apc_paid | |
| concepts[0].id | https://openalex.org/C161759796 |
| concepts[0].level | 3 |
| concepts[0].score | 0.9533191919326782 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q3982902 |
| concepts[0].display_name | Teleoperation |
| concepts[1].id | https://openalex.org/C207347870 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6099367141723633 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q371174 |
| concepts[1].display_name | Gesture |
| concepts[2].id | https://openalex.org/C31972630 |
| concepts[2].level | 1 |
| concepts[2].score | 0.4944734573364258 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q844240 |
| concepts[2].display_name | Computer vision |
| concepts[3].id | https://openalex.org/C159437735 |
| concepts[3].level | 3 |
| concepts[3].score | 0.4863736927509308 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q1519524 |
| concepts[3].display_name | Gesture recognition |
| concepts[4].id | https://openalex.org/C170130773 |
| concepts[4].level | 2 |
| concepts[4].score | 0.4702543020248413 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q216378 |
| concepts[4].display_name | Usability |
| concepts[5].id | https://openalex.org/C557691694 |
| concepts[5].level | 2 |
| concepts[5].score | 0.4693604111671448 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q185091 |
| concepts[5].display_name | Remote control |
| concepts[6].id | https://openalex.org/C154945302 |
| concepts[6].level | 1 |
| concepts[6].score | 0.4614907503128052 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[6].display_name | Artificial intelligence |
| concepts[7].id | https://openalex.org/C41008148 |
| concepts[7].level | 0 |
| concepts[7].score | 0.45716914534568787 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[7].display_name | Computer science |
| concepts[8].id | https://openalex.org/C127413603 |
| concepts[8].level | 0 |
| concepts[8].score | 0.42308509349823 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[8].display_name | Engineering |
| concepts[9].id | https://openalex.org/C44154836 |
| concepts[9].level | 1 |
| concepts[9].score | 0.40190306305885315 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q45045 |
| concepts[9].display_name | Simulation |
| concepts[10].id | https://openalex.org/C79403827 |
| concepts[10].level | 1 |
| concepts[10].score | 0.3626759648323059 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q3988 |
| concepts[10].display_name | Real-time computing |
| concepts[11].id | https://openalex.org/C2775924081 |
| concepts[11].level | 2 |
| concepts[11].score | 0.3164905905723572 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q55608371 |
| concepts[11].display_name | Control (management) |
| concepts[12].id | https://openalex.org/C107457646 |
| concepts[12].level | 1 |
| concepts[12].score | 0.22071769833564758 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q207434 |
| concepts[12].display_name | Human–computer interaction |
| concepts[13].id | https://openalex.org/C9390403 |
| concepts[13].level | 1 |
| concepts[13].score | 0.15615689754486084 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q3966 |
| concepts[13].display_name | Computer hardware |
| keywords[0].id | https://openalex.org/keywords/teleoperation |
| keywords[0].score | 0.9533191919326782 |
| keywords[0].display_name | Teleoperation |
| keywords[1].id | https://openalex.org/keywords/gesture |
| keywords[1].score | 0.6099367141723633 |
| keywords[1].display_name | Gesture |
| keywords[2].id | https://openalex.org/keywords/computer-vision |
| keywords[2].score | 0.4944734573364258 |
| keywords[2].display_name | Computer vision |
| keywords[3].id | https://openalex.org/keywords/gesture-recognition |
| keywords[3].score | 0.4863736927509308 |
| keywords[3].display_name | Gesture recognition |
| keywords[4].id | https://openalex.org/keywords/usability |
| keywords[4].score | 0.4702543020248413 |
| keywords[4].display_name | Usability |
| keywords[5].id | https://openalex.org/keywords/remote-control |
| keywords[5].score | 0.4693604111671448 |
| keywords[5].display_name | Remote control |
| keywords[6].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[6].score | 0.4614907503128052 |
| keywords[6].display_name | Artificial intelligence |
| keywords[7].id | https://openalex.org/keywords/computer-science |
| keywords[7].score | 0.45716914534568787 |
| keywords[7].display_name | Computer science |
| keywords[8].id | https://openalex.org/keywords/engineering |
| keywords[8].score | 0.42308509349823 |
| keywords[8].display_name | Engineering |
| keywords[9].id | https://openalex.org/keywords/simulation |
| keywords[9].score | 0.40190306305885315 |
| keywords[9].display_name | Simulation |
| keywords[10].id | https://openalex.org/keywords/real-time-computing |
| keywords[10].score | 0.3626759648323059 |
| keywords[10].display_name | Real-time computing |
| keywords[11].id | https://openalex.org/keywords/control |
| keywords[11].score | 0.3164905905723572 |
| keywords[11].display_name | Control (management) |
| keywords[12].id | https://openalex.org/keywords/human–computer-interaction |
| keywords[12].score | 0.22071769833564758 |
| keywords[12].display_name | Human–computer interaction |
| keywords[13].id | https://openalex.org/keywords/computer-hardware |
| keywords[13].score | 0.15615689754486084 |
| keywords[13].display_name | Computer hardware |
| language | en |
| locations[0].id | mag:2887927153 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S2764726801 |
| locations[0].source.issn | 1934-6344, 1934-6352 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1934-6344 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | International journal of agricultural and biological engineering |
| locations[0].source.host_organization | https://openalex.org/P4310311918 |
| locations[0].source.host_organization_name | Chinese Society of Agricultural Engineering |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310311918 |
| locations[0].source.host_organization_lineage_names | Chinese Society of Agricultural Engineering |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| locations[0].version | |
| locations[0].raw_type | |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | False |
| locations[0].is_published | |
| locations[0].raw_source_name | International journal of agricultural and biological engineering |
| locations[0].landing_page_url | https://ijabe.org/index.php/ijabe/article/view/4096 |
| authorships[0].author.id | https://openalex.org/A5075395158 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-0488-0642 |
| authorships[0].author.display_name | Xuanchun Yin |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I101479585 |
| authorships[0].affiliations[0].raw_affiliation_string | 1. College of Engineering, South China Agricultural University, Guangzhou 510642, China |
| authorships[0].institutions[0].id | https://openalex.org/I101479585 |
| authorships[0].institutions[0].ror | https://ror.org/05v9jqt67 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I101479585 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | South China Agricultural University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Xuanchun Yin |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | 1. College of Engineering, South China Agricultural University, Guangzhou 510642, China |
| authorships[1].author.id | https://openalex.org/A5101666108 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-6664-5571 |
| authorships[1].author.display_name | Yubin Lan |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I101479585 |
| authorships[1].affiliations[0].raw_affiliation_string | South China Agricultural University, Guangzhou, China |
| authorships[1].institutions[0].id | https://openalex.org/I101479585 |
| authorships[1].institutions[0].ror | https://ror.org/05v9jqt67 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I101479585 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | South China Agricultural University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Yubin Lan |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | South China Agricultural University, Guangzhou, China |
| authorships[2].author.id | https://openalex.org/A5101922962 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-3035-1114 |
| authorships[2].author.display_name | Sheng Wen |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I101479585 |
| authorships[2].affiliations[0].raw_affiliation_string | 4. Eengineering fundamental Teaching and Trainer Center, South China Agricultural University, Guangzhou 510642, China; |
| authorships[2].institutions[0].id | https://openalex.org/I101479585 |
| authorships[2].institutions[0].ror | https://ror.org/05v9jqt67 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I101479585 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | South China Agricultural University |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Sheng Wen |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | 4. Eengineering fundamental Teaching and Trainer Center, South China Agricultural University, Guangzhou 510642, China; |
| authorships[3].author.id | https://openalex.org/A5100781678 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-1646-2643 |
| authorships[3].author.display_name | Jiantao Zhang |
| authorships[3].countries | CN |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I101479585 |
| authorships[3].affiliations[0].raw_affiliation_string | 5. College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China |
| authorships[3].institutions[0].id | https://openalex.org/I101479585 |
| authorships[3].institutions[0].ror | https://ror.org/05v9jqt67 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I101479585 |
| authorships[3].institutions[0].country_code | CN |
| authorships[3].institutions[0].display_name | South China Agricultural University |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Jiantao Zhang |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | 5. College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China |
| authorships[4].author.id | https://openalex.org/A5083032213 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-4854-3392 |
| authorships[4].author.display_name | Shifan Wu |
| authorships[4].countries | CN |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I101479585 |
| authorships[4].affiliations[0].raw_affiliation_string | 1. College of Engineering, South China Agricultural University, Guangzhou 510642, China |
| authorships[4].institutions[0].id | https://openalex.org/I101479585 |
| authorships[4].institutions[0].ror | https://ror.org/05v9jqt67 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I101479585 |
| authorships[4].institutions[0].country_code | CN |
| authorships[4].institutions[0].display_name | South China Agricultural University |
| authorships[4].author_position | last |
| authorships[4].raw_author_name | Shifan Wu |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | 1. College of Engineering, South China Agricultural University, Guangzhou 510642, China |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://ijabe.org/index.php/ijabe/article/view/4096 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Natural UAV tele-operation for agricultural application by using Kinect sensor |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-10-10T17:16:08.811792 |
| primary_topic.id | https://openalex.org/T14413 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.8668000102043152 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1702 |
| primary_topic.subfield.display_name | Artificial Intelligence |
| primary_topic.display_name | Advanced Technologies in Various Fields |
| related_works | https://openalex.org/W2735897556, https://openalex.org/W2063271629, https://openalex.org/W3210411391, https://openalex.org/W2206300637, https://openalex.org/W2068265846, https://openalex.org/W1947042440, https://openalex.org/W2994920965, https://openalex.org/W2027296962, https://openalex.org/W2177575442, https://openalex.org/W2549075082, https://openalex.org/W2171337252, https://openalex.org/W3198896856, https://openalex.org/W3045664273, https://openalex.org/W2890369609, https://openalex.org/W1972542192, https://openalex.org/W2064549976, https://openalex.org/W2767048994, https://openalex.org/W2550426656, https://openalex.org/W3209535693, https://openalex.org/W2556334750 |
| cited_by_count | 1 |
| counts_by_year[0].year | 2020 |
| counts_by_year[0].cited_by_count | 1 |
| locations_count | 1 |
| best_oa_location.id | mag:2887927153 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S2764726801 |
| best_oa_location.source.issn | 1934-6344, 1934-6352 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1934-6344 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | International journal of agricultural and biological engineering |
| best_oa_location.source.host_organization | https://openalex.org/P4310311918 |
| best_oa_location.source.host_organization_name | Chinese Society of Agricultural Engineering |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310311918 |
| best_oa_location.source.host_organization_lineage_names | Chinese Society of Agricultural Engineering |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | |
| best_oa_location.raw_type | |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | International journal of agricultural and biological engineering |
| best_oa_location.landing_page_url | https://ijabe.org/index.php/ijabe/article/view/4096 |
| primary_location.id | mag:2887927153 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S2764726801 |
| primary_location.source.issn | 1934-6344, 1934-6352 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1934-6344 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | International journal of agricultural and biological engineering |
| primary_location.source.host_organization | https://openalex.org/P4310311918 |
| primary_location.source.host_organization_name | Chinese Society of Agricultural Engineering |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310311918 |
| primary_location.source.host_organization_lineage_names | Chinese Society of Agricultural Engineering |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| primary_location.version | |
| primary_location.raw_type | |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | International journal of agricultural and biological engineering |
| primary_location.landing_page_url | https://ijabe.org/index.php/ijabe/article/view/4096 |
| publication_date | 2018-08-08 |
| publication_year | 2018 |
| referenced_works_count | 0 |
| abstract_inverted_index.& | 245 |
| abstract_inverted_index.J | 225, 243 |
| abstract_inverted_index.S | 228 |
| abstract_inverted_index.X | 217 |
| abstract_inverted_index.Y | 220 |
| abstract_inverted_index.a | 38, 42, 64, 71, 145 |
| abstract_inverted_index.At | 184 |
| abstract_inverted_index.B, | 221 |
| abstract_inverted_index.C, | 218 |
| abstract_inverted_index.F. | 229 |
| abstract_inverted_index.In | 68, 84, 143 |
| abstract_inverted_index.S, | 223 |
| abstract_inverted_index.T, | 226 |
| abstract_inverted_index.Wu | 227 |
| abstract_inverted_index.as | 14, 99, 168, 170 |
| abstract_inverted_index.be | 97 |
| abstract_inverted_index.by | 37, 92, 197, 237 |
| abstract_inverted_index.in | 10, 58, 78, 127 |
| abstract_inverted_index.is | 63, 120, 136 |
| abstract_inverted_index.of | 44, 159, 163, 190 |
| abstract_inverted_index.on | 47, 179 |
| abstract_inverted_index.so | 27 |
| abstract_inverted_index.to | 113, 122, 138 |
| abstract_inverted_index.Int | 242 |
| abstract_inverted_index.Lan | 219 |
| abstract_inverted_index.The | 54, 157 |
| abstract_inverted_index.UAV | 51, 60, 74, 85, 103, 108, 133, 160, 232 |
| abstract_inverted_index.Wen | 222 |
| abstract_inverted_index.Yin | 216 |
| abstract_inverted_index.and | 26, 140, 166, 188 |
| abstract_inverted_index.are | 34 |
| abstract_inverted_index.but | 29 |
| abstract_inverted_index.can | 96 |
| abstract_inverted_index.for | 20, 102, 234 |
| abstract_inverted_index.has | 194 |
| abstract_inverted_index.key | 55 |
| abstract_inverted_index.new | 146 |
| abstract_inverted_index.on, | 28 |
| abstract_inverted_index.the | 48, 123, 176, 180, 186, 191, 198 |
| abstract_inverted_index.was | 81, 154 |
| abstract_inverted_index.yaw | 167 |
| abstract_inverted_index.(RC) | 1 |
| abstract_inverted_index.Biol | 246 |
| abstract_inverted_index.Eng, | 247 |
| abstract_inverted_index.UAVs | 32 |
| abstract_inverted_index.area | 62 |
| abstract_inverted_index.been | 7, 195 |
| abstract_inverted_index.crop | 21 |
| abstract_inverted_index.easy | 137 |
| abstract_inverted_index.eyes | 45 |
| abstract_inverted_index.hand | 115, 150 |
| abstract_inverted_index.have | 6 |
| abstract_inverted_index.need | 43 |
| abstract_inverted_index.pose | 204 |
| abstract_inverted_index.real | 147 |
| abstract_inverted_index.site | 50 |
| abstract_inverted_index.some | 107 |
| abstract_inverted_index.such | 13 |
| abstract_inverted_index.this | 69 |
| abstract_inverted_index.time | 148 |
| abstract_inverted_index.used | 98 |
| abstract_inverted_index.well | 169 |
| abstract_inverted_index.were | 117, 173 |
| abstract_inverted_index.with | 41, 175 |
| abstract_inverted_index.2018; | 248 |
| abstract_inverted_index.Agric | 244 |
| abstract_inverted_index.Zhang | 224 |
| abstract_inverted_index.based | 178 |
| abstract_inverted_index.depth | 206 |
| abstract_inverted_index.focus | 46 |
| abstract_inverted_index.human | 88, 114, 149, 203 |
| abstract_inverted_index.issue | 56 |
| abstract_inverted_index.last, | 185 |
| abstract_inverted_index.learn | 139 |
| abstract_inverted_index.novel | 72 |
| abstract_inverted_index.pilot | 40 |
| abstract_inverted_index.pitch | 165 |
| abstract_inverted_index.radio | 124 |
| abstract_inverted_index.roll, | 164 |
| abstract_inverted_index.these | 30 |
| abstract_inverted_index.using | 93, 238 |
| abstract_inverted_index.which | 119 |
| abstract_inverted_index.(UAVs) | 5 |
| abstract_inverted_index.11(4): | 249 |
| abstract_inverted_index.China. | 128 |
| abstract_inverted_index.Kinect | 94, 239 |
| abstract_inverted_index.aerial | 3, 212 |
| abstract_inverted_index.areas, | 12 |
| abstract_inverted_index.flight | 161 |
| abstract_inverted_index.image, | 207 |
| abstract_inverted_index.method | 193 |
| abstract_inverted_index.paper, | 70 |
| abstract_inverted_index.remote | 15, 49 |
| abstract_inverted_index.sensor | 95 |
| abstract_inverted_index.system | 77 |
| abstract_inverted_index.Natural | 231 |
| abstract_inverted_index.applied | 9 |
| abstract_inverted_index.control | 76, 100, 110, 135, 172 |
| abstract_inverted_index.dynamic | 162 |
| abstract_inverted_index.existed | 57 |
| abstract_inverted_index.flight. | 52, 104 |
| abstract_inverted_index.gesture | 131, 151, 201 |
| abstract_inverted_index.master. | 141 |
| abstract_inverted_index.method. | 182 |
| abstract_inverted_index.natural | 73 |
| abstract_inverted_index.needed. | 67 |
| abstract_inverted_index.precise | 17 |
| abstract_inverted_index.related | 112 |
| abstract_inverted_index.sensor. | 240 |
| abstract_inverted_index.similar | 121 |
| abstract_inverted_index.systems | 33 |
| abstract_inverted_index.vehicle | 213 |
| abstract_inverted_index.173-178. | 250 |
| abstract_inverted_index.attitude | 171 |
| abstract_inverted_index.commands | 101, 111 |
| abstract_inverted_index.defined, | 118 |
| abstract_inverted_index.entirely | 36 |
| abstract_inverted_index.gestures | 90, 116 |
| abstract_inverted_index.longtime | 65 |
| abstract_inverted_index.measured | 91 |
| abstract_inverted_index.operated | 35 |
| abstract_inverted_index.operator | 89 |
| abstract_inverted_index.proposed | 181, 192 |
| abstract_inverted_index.sensing, | 16 |
| abstract_inverted_index.skeleton | 208 |
| abstract_inverted_index.spraying | 18 |
| abstract_inverted_index.training | 66 |
| abstract_inverted_index.unmanned | 2, 211 |
| abstract_inverted_index.vehicles | 4 |
| abstract_inverted_index.verified | 174, 196 |
| abstract_inverted_index.Moreover, | 106 |
| abstract_inverted_index.addition, | 144 |
| abstract_inverted_index.algorithm | 153 |
| abstract_inverted_index.exercises | 126 |
| abstract_inverted_index.gymnastic | 125 |
| abstract_inverted_index.proposed. | 82, 155 |
| abstract_inverted_index.scenario, | 87 |
| abstract_inverted_index.situation | 24 |
| abstract_inverted_index.stability | 158 |
| abstract_inverted_index.tracking, | 209 |
| abstract_inverted_index.usability | 187 |
| abstract_inverted_index.Therefore, | 130 |
| abstract_inverted_index.inspection | 25 |
| abstract_inverted_index.pesticides | 19 |
| abstract_inverted_index.(UAV) DOI: | 214 |
| abstract_inverted_index.application | 80, 236 |
| abstract_inverted_index.estimation, | 205 |
| abstract_inverted_index.experiments | 177 |
| abstract_inverted_index.extensively | 8 |
| abstract_inverted_index.protection, | 22 |
| abstract_inverted_index.recognition | 152 |
| abstract_inverted_index.agricultural | 11, 23, 59, 79, 235 |
| abstract_inverted_index.experimental | 199 |
| abstract_inverted_index.ground-based | 39 |
| abstract_inverted_index.recognition, | 202 |
| abstract_inverted_index.effectiveness | 189 |
| abstract_inverted_index.teleoperation | 61, 75, 86, 109, 134 |
| abstract_inverted_index.tele-operation | 233 |
| abstract_inverted_index.teleoperation, | 210 |
| abstract_inverted_index.telemanipulated | 31 |
| abstract_inverted_index.Remote-controlled | 0 |
| abstract_inverted_index.recognition-based | 132 |
| abstract_inverted_index.results. Keywords: | 200 |
| abstract_inverted_index.10.25165/j.ijabe.20181104.4096 Citation: | 215 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/2 |
| sustainable_development_goals[0].score | 0.7200000286102295 |
| sustainable_development_goals[0].display_name | Zero hunger |
| citation_normalized_percentile.value | 0.59100763 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |