Area of research
Aerospace Engineering · Computer Vision and Pattern Recognition
Research interest
Research interests include Computer science, Artificial intelligence, Point cloud, Remote sensing, Robot, and Computer vision.
Geometry‐Aware 3D Point Cloud Learning for Precise Cutting‐Point Detection in Unstructured Field Environments
Developing Smart Mavs for Autonomous Inspection in Underground Constructions
3D vision technologies for a self-developed structural external crack damage recognition robot
High-fidelity 3D reconstruction of plants using Neural Radiance Fields
A novel perception and semantic mapping method for robot autonomy in orchards
FF3D: A Rapid and Accurate 3D Fruit Detector for Robotic Harvesting
ODN-Pro: An Improved Model Based on YOLOv8 for Enhanced Instance Detection in Orchard Point Clouds
A Novel Method for the Object Detection and Weight Prediction of Chinese Softshell Turtles Based on Computer Vision and Deep Learning
Accurate Fruit Phenotype Reconstruction via Geometry-Smooth Neural Implicit Surface
A Context-Aware Navigation Framework for Ground Robots in Horticultural Environments
Developing a Flying Explorer for Autonomous Digital Modelling in Wild Unknowns
High-Fidelity 3d Reconstruction of Plants Using Neural Radiance Field
Identification and Detection of Biological Information on Tiny Biological Targets Based on Subtle Differences