7 papers
Towards Gold-Standard Depth Estimation for Tree Branches in UAV Forestry: Benchmarking Deep Stereo Matching Methods
Yida Lin, Bing Xue, Mengjie Zhang +2
Autonomous UAV forestry operations require robust depth estimation with strong cross-domain generalization, yet existing evaluations focus on urban and indoor scenarios, leaving a…
Performance Evaluation of Deep Learning for Tree Branch Segmentation in Autonomous Forestry Systems
Yida Lin, Bing Xue, Mengjie Zhang +2
UAV-based autonomous forestry operations require rapid and precise tree branch segmentation for safe navigation and automated pruning across varying pixel resolutions and operation…
YOLO and SGBM Integration for Autonomous Tree Branch Detection and Depth Estimation in Radiata Pine Pruning Applications
Yida Lin, Bing Xue, Mengjie Zhang +2
Manual pruning of radiata pine trees poses significant safety risks due to extreme working heights and challenging terrain. This paper presents a computer vision framework that int…
Genetic Algorithms For Parameter Optimization for Disparity Map Generation of Radiata Pine Branch Images
Yida Lin, Bing Xue, Mengjie Zhang +2
Traditional stereo matching algorithms like Semi-Global Block Matching (SGBM) with Weighted Least Squares (WLS) filtering offer speed advantages over neural networks for UAV applic…
Generalization Evaluation of Deep Stereo Matching Methods for UAV-Based Forestry Applications
Yida Lin, Bing Xue, Mengjie Zhang +2
Autonomous UAV forestry operations require robust depth estimation methods with strong cross-domain generalization. However, existing evaluations focus on urban and indoor scenario…
Drone Stereo Vision for Radiata Pine Branch Detection and Distance Measurement: Utilizing Deep Learning and YOLO Integration
Yida Lin, Bing Xue, Mengjie Zhang +2
This research focuses on the development of a drone equipped with pruning tools and a stereo vision camera to accurately detect and measure the spatial positions of tree branches.…