Detection results of the improved YOLOv8s at low light intersections.
<p>Detection results of the improved YOLOv8s at low light intersections.</p>
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| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , |
| منشور في: |
2025
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| الموضوعات: | |
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| _version_ | 1852017392449748992 |
|---|---|
| author | Xinwei Wang (352488) |
| author2 | Yue Hu (201714) Qing Liang (654718) Yujie He (3068052) Li Zhou (54356) |
| author2_role | author author author author |
| author_facet | Xinwei Wang (352488) Yue Hu (201714) Qing Liang (654718) Yujie He (3068052) Li Zhou (54356) |
| author_role | author |
| dc.creator.none.fl_str_mv | Xinwei Wang (352488) Yue Hu (201714) Qing Liang (654718) Yujie He (3068052) Li Zhou (54356) |
| dc.date.none.fl_str_mv | 2025-08-21T18:02:16Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0327732.g020 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Detection_results_of_the_improved_YOLOv8s_at_low_light_intersections_/29963233 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified weight file size uav autonomous perception shown explosive growth insufficient feature capture injecting new vitality extract critical features enrich feature fusion efficient feature extraction enabling convolution operations 9 %, 4 sppf module incorporates scale feature processing mechanism captures long mean average precision improve detection accuracy algorithm introduces akconv model &# 8217 large convolution kernels improved algorithm achieves 33 %, respectively low altitude economy convolution kernels altitude economy detection precision original algorithm scale searches paper achieves lska mechanism improved yolov8s c2f module akconv allows accurate large detection recall 5 %, xlink "> thereby achieving study focuses security risks sampling shapes range dependencies precisely adapt perform rapid parameter count orderly operation model lightweighting low efficiency low airspace key support experimental results economic development |
| dc.title.none.fl_str_mv | Detection results of the improved YOLOv8s at low light intersections. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>Detection results of the improved YOLOv8s at low light intersections.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_f8bc2a343b9516ddee06b8495593d6fc |
| identifier_str_mv | 10.1371/journal.pone.0327732.g020 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29963233 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Detection results of the improved YOLOv8s at low light intersections.Xinwei Wang (352488)Yue Hu (201714)Qing Liang (654718)Yujie He (3068052)Li Zhou (54356)Space ScienceBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedweight file sizeuav autonomous perceptionshown explosive growthinsufficient feature captureinjecting new vitalityextract critical featuresenrich feature fusionefficient feature extractionenabling convolution operations9 %, 4sppf module incorporatesscale feature processingmechanism captures longmean average precisionimprove detection accuracyalgorithm introduces akconvmodel &# 8217large convolution kernelsimproved algorithm achieves33 %, respectivelylow altitude economyconvolution kernelsaltitude economydetection precisionoriginal algorithmscale searchespaper achieveslska mechanismimproved yolov8sc2f moduleakconv allowsaccurate largedetection recall5 %,xlink ">thereby achievingstudy focusessecurity riskssampling shapesrange dependenciesprecisely adaptperform rapidparameter countorderly operationmodel lightweightinglow efficiencylow airspacekey supportexperimental resultseconomic development<p>Detection results of the improved YOLOv8s at low light intersections.</p>2025-08-21T18:02:16ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0327732.g020https://figshare.com/articles/figure/Detection_results_of_the_improved_YOLOv8s_at_low_light_intersections_/29963233CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/299632332025-08-21T18:02:16Z |
| spellingShingle | Detection results of the improved YOLOv8s at low light intersections. Xinwei Wang (352488) Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified weight file size uav autonomous perception shown explosive growth insufficient feature capture injecting new vitality extract critical features enrich feature fusion efficient feature extraction enabling convolution operations 9 %, 4 sppf module incorporates scale feature processing mechanism captures long mean average precision improve detection accuracy algorithm introduces akconv model &# 8217 large convolution kernels improved algorithm achieves 33 %, respectively low altitude economy convolution kernels altitude economy detection precision original algorithm scale searches paper achieves lska mechanism improved yolov8s c2f module akconv allows accurate large detection recall 5 %, xlink "> thereby achieving study focuses security risks sampling shapes range dependencies precisely adapt perform rapid parameter count orderly operation model lightweighting low efficiency low airspace key support experimental results economic development |
| status_str | publishedVersion |
| title | Detection results of the improved YOLOv8s at low light intersections. |
| title_full | Detection results of the improved YOLOv8s at low light intersections. |
| title_fullStr | Detection results of the improved YOLOv8s at low light intersections. |
| title_full_unstemmed | Detection results of the improved YOLOv8s at low light intersections. |
| title_short | Detection results of the improved YOLOv8s at low light intersections. |
| title_sort | Detection results of the improved YOLOv8s at low light intersections. |
| topic | Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified weight file size uav autonomous perception shown explosive growth insufficient feature capture injecting new vitality extract critical features enrich feature fusion efficient feature extraction enabling convolution operations 9 %, 4 sppf module incorporates scale feature processing mechanism captures long mean average precision improve detection accuracy algorithm introduces akconv model &# 8217 large convolution kernels improved algorithm achieves 33 %, respectively low altitude economy convolution kernels altitude economy detection precision original algorithm scale searches paper achieves lska mechanism improved yolov8s c2f module akconv allows accurate large detection recall 5 %, xlink "> thereby achieving study focuses security risks sampling shapes range dependencies precisely adapt perform rapid parameter count orderly operation model lightweighting low efficiency low airspace key support experimental results economic development |