Research graph
References from Vision-Based Headland Boundary Perception and Decision-Making for Turn Initiation of Agricultural Machinery. Local targets link to admitted publications; unresolved targets remain external evidence.
Automatic navigation and self-driving technology in agricultural machinery: A state-of-the-art systematic review
10.1109/access.2025.3573324 · 2025 · External reference
Research status and prospects of agricultural machinery autonomous driving
2023 · External reference
Research progress on binocular stereo vision technology and its applications in smart agriculture
2025 · External reference
Positioning method of integrated navigation based on GPS and machine vision
2011 · External reference
10.3389/fpls.2025.1673567
10.3389/fpls.2025.1673567 · External reference
10.3390/machines9050103
10.3390/machines9050103 · External reference
Detection for navigation route for cotton harvester based on machine vision
2013 · External reference
Detection method of headland boundary line based on machine vision
2020 · External reference
Detection system of headland boundary line based on machine vision
2022 · External reference
Method for the automatic recognition of cropland headland images based on deep learning
2023 · External reference
10.3390/agriculture14020243
10.3390/agriculture14020243 · External reference
Automated detection of boundary line in paddy field using MobileV2-UNet and RANSAC
10.1016/j.compag.2022.106697 · 2022 · External reference
Detection of the farmland plow areas using RGB-D images with an improved YOLOv5 model
2024 · External reference
Robust detection of headland boundary in paddy fields from continuous RGB-D images using hybrid deep neural networks
10.1016/j.compag.2023.107713 · 2023 · External reference
UCIW-YOLO: Multi-category and high-precision obstacle detection model for agricultural machinery in unstructured farmland environments
10.1016/j.eswa.2025.128686 · 2025 · External reference
Heuristic cooperative coverage path planning for multiple autonomous agricultural field machines performing sequentially dependent tasks of different working widths and turn characteristics
10.1016/j.biosystemseng.2024.04.007 · 2024 · External reference
Dynamic path planning method for headland turning of unmanned agricultural vehicles
10.1016/j.compag.2023.107699 · 2023 · External reference
Navigation path extraction for farmland headlands via red-green-blue and depth multimodal fusion based on an improved DeepLabV3+ model
10.1016/j.engappai.2025.110681 · 2025 · External reference
Research on a vision navigation system for rice transplanters based on machine vision fused with GNSS
10.1016/j.biosystemseng.2025.104354 · 2026 · External reference
Smooth turning path generation for agricultural vehicles in headlands
10.1016/j.biosystemseng.2015.08.005 · 2015 · External reference
Evaluation of headland turning types of adjacent parallel paths for combine harvesters
10.1016/j.biosystemseng.2023.07.009 · 2023 · External reference
10.1007/978-3-031-73661-2_5
10.1007/978-3-031-73661-2_5 · External reference
Image semantic segmentation approach based on DeepLabV3 plus network with an attention mechanism
10.1016/j.engappai.2023.107260 · 2024 · External reference
10.3390/s25165004
10.3390/s25165004 · External reference
10.3390/plants12193438
10.3390/plants12193438 · External reference
Enhanced lane detection via connectivity and boundary refinement for real-time applications
10.1007/s00371-025-04074-6 · 2025 · External reference
Boundary loss for highly unbalanced segmentation
10.1016/j.media.2020.101851 · 2021 · External reference
Generalised dice overlap as a deep learning loss function for highly unbalanced segmentations
2017 · External reference
10.1109/cvpr.2017.660
10.1109/cvpr.2017.660 · External reference
Deep high-resolution representation learning for visual recognition
10.1109/tpami.2020.2983686 · 2021 · External reference
10.3390/rs15215088
10.3390/rs15215088 · External reference
Stereo-vision-based crop height estimation for agricultural robots
10.1016/j.compag.2020.105937 · 2021 · External reference
Stereovision-based ridge-furrow detection and tracking for auto-guided cultivator
10.1016/j.compag.2021.106490 · 2021 · External reference
10.1007/978-3-031-73661-2_5
10.1007/978-3-031-73661-2_5 · ExternalCitation · doi-reference
Enhanced lane detection via connectivity and boundary refinement for real-time applications
10.1007/s00371-025-04074-6 · ExternalCitation · doi-reference
Smooth turning path generation for agricultural vehicles in headlands
10.1016/j.biosystemseng.2015.08.005 · ExternalCitation · doi-reference
Evaluation of headland turning types of adjacent parallel paths for combine harvesters
10.1016/j.biosystemseng.2023.07.009 · ExternalCitation · doi-reference
Heuristic cooperative coverage path planning for multiple autonomous agricultural field machines performing sequentially dependent tasks of different working widths and turn characteristics
10.1016/j.biosystemseng.2024.04.007 · ExternalCitation · doi-reference
Research on a vision navigation system for rice transplanters based on machine vision fused with GNSS
10.1016/j.biosystemseng.2025.104354 · ExternalCitation · doi-reference
Stereo-vision-based crop height estimation for agricultural robots
10.1016/j.compag.2020.105937 · ExternalCitation · doi-reference
Stereovision-based ridge-furrow detection and tracking for auto-guided cultivator
10.1016/j.compag.2021.106490 · ExternalCitation · doi-reference
Automated detection of boundary line in paddy field using MobileV2-UNet and RANSAC
10.1016/j.compag.2022.106697 · ExternalCitation · doi-reference
Dynamic path planning method for headland turning of unmanned agricultural vehicles
10.1016/j.compag.2023.107699 · ExternalCitation · doi-reference
Robust detection of headland boundary in paddy fields from continuous RGB-D images using hybrid deep neural networks
10.1016/j.compag.2023.107713 · ExternalCitation · doi-reference
Image semantic segmentation approach based on DeepLabV3 plus network with an attention mechanism
10.1016/j.engappai.2023.107260 · ExternalCitation · doi-reference
Navigation path extraction for farmland headlands via red-green-blue and depth multimodal fusion based on an improved DeepLabV3+ model
10.1016/j.engappai.2025.110681 · ExternalCitation · doi-reference
UCIW-YOLO: Multi-category and high-precision obstacle detection model for agricultural machinery in unstructured farmland environments
10.1016/j.eswa.2025.128686 · ExternalCitation · doi-reference
Boundary loss for highly unbalanced segmentation
10.1016/j.media.2020.101851 · ExternalCitation · doi-reference
Automatic navigation and self-driving technology in agricultural machinery: A state-of-the-art systematic review
10.1109/access.2025.3573324 · ExternalCitation · doi-reference
10.1109/cvpr.2017.660
10.1109/cvpr.2017.660 · ExternalCitation · doi-reference
Deep high-resolution representation learning for visual recognition
10.1109/tpami.2020.2983686 · ExternalCitation · doi-reference
10.3389/fpls.2025.1673567
10.3389/fpls.2025.1673567 · ExternalCitation · doi-reference
10.3390/agriculture14020243
10.3390/agriculture14020243 · ExternalCitation · doi-reference
10.3390/machines9050103
10.3390/machines9050103 · ExternalCitation · doi-reference
10.3390/plants12193438
10.3390/plants12193438 · ExternalCitation · doi-reference
10.3390/rs15215088
10.3390/rs15215088 · ExternalCitation · doi-reference
10.3390/s25165004
10.3390/s25165004 · ExternalCitation · doi-reference
