A5027018215- Remote Sensing and LiDAR Applications
- Remote Sensing in Agriculture
- Robotic Path Planning Algorithms
- Plant Water Relations and Carbon Dynamics
- Control and Dynamics of Mobile Robots
- Autonomous Vehicle Technology and Safety
- Automated Road and Building Extraction
- Vehicle Dynamics and Control Systems
- Fire effects on ecosystems
- Gear and Bearing Dynamics Analysis
- Forest ecology and management
- Planetary Science and Exploration
- Machine Fault Diagnosis Techniques
- Land Use and Ecosystem Services
- Cellular and Composite Structures
- Image Processing and 3D Reconstruction
- Forest Biomass Utilization and Management
- Soil Mechanics and Vehicle Dynamics
- Engineering Diagnostics and Reliability
- Mechanical Behavior of Composites
- Astro and Planetary Science
- Space Satellite Systems and Control
- Advanced Neural Network Applications
- Advanced Measurement and Detection Methods
- Infrared Target Detection Methodologies
North University of China
2023-2025
Beijing Forestry University
2018-2023
State Forestry and Grassland Administration
2023
Beijing Municipal Education Commission
2021-2022
The detection and recognition of unstructured roads in forest environments are critical for smart forestry technology. Forest lack effective reference objects manual signs have high degrees nonlinearity uncertainty, which pose severe challenges to engineering vehicles. This research aims improve the automation intelligence proposes an road method based on a combination image processing 2D lidar detection. uses “improved SEEDS + Support Vector Machine (SVM)” strategy quickly classify...
The design and industrial innovation of intelligent agricultural machinery equipment for saline alkali land are important means comprehensive management capacity improvement land. autonomous unmanned tractor is the inevitable trend development in As an underactuated system with non-holonomic constraints, independent trajectory planning lateral stability control tractor-trailer (TTS) face challenges In this study, based on nonlinear underactuation characteristics TTS law passive trailer...
The tractor–trailer wheeled robot (TTWR) is a typical modular mobile system. It widely used in industry and agriculture transportation because of its simple structure, heavy load, high efficiency, strong adaptability, flexibility. Because it nonlinear underactuated system subjected to nonholonomic constraints, the complexity influence inner wheel difference pose great challenges trajectory prediction path planning. To solve this problem, paper proposes algorithm for an unpowered trailer TTWR...
Promoting the deployment and application of embedded systems in complex forest scenarios is an inevitable developmental trend advanced intelligent forestry equipment. Unstructured roads, which lack effective artificial traffic signs reference objects, pose significant challenges for driverless technology scenarios, owing to their high nonlinearity uncertainty. In this research, unstructured road parameterization construction method, “DeepLab-Road”, based on tight coupling multisource...
Traditional unmanned aerial vehicle (UAV) detection methods struggle with multi-scale variations during flight, complex backgrounds, and low accuracy, whereas existing deep learning have high accuracy but dependence on equipment, making it difficult to detect small UAV targets efficiently. To address the above challenges, this paper proposes an improved lightweight high-precision model, YOLOv8-E (Enhanced YOLOv8), for fast accurate identification of UAVs in environments. First, a Sobel...
Space grippers are the key devices for accomplishing space non-cooperative target capture, which has a great significance satellite services and debris removal. This article proposes novel mechanical gripper device capture of aluminum honeycomb panels satellites. The was modeled assembled in three-dimensional modeling platform UGNX. model imported into simulation software ADAMS. ADAMS is capable analyzing kinematic feasibility model. Collision penetrating power analysis claws an plate were...
Due to global warming, changes in plant phenology such as an early leaf spreading period spring, a late abscission autumn, and growing season extension are commonly seen. Here, near-earth remote sensing images were used monitor the canopy of Populus tomentosa B301 planted forests under full drip irrigation, furrow no irrigation (rain fed). Experiments conducted collect phenological data across season. Continuous calculate different vegetation indices; key was determined via double logistic...
Forest canopies are highly sensitive to their growth, health, and climate change. The study aims obtain time sequence images in mix foresters using a near-earth remote sensing method track the seasonal variation color index select optimal index. Three different regions of interest (RIOs) were defined six indexes (GRVI, HUE, GGR, RCC, GCC, GEI) calculated analyze microenvironment difference. key phenological phase was identified double logistic model derivative method, phenology forecast...
Abstract This article presents an effective test method for evaluating the shear performance of repaired honeycomb sandwich panels consisting glass fiber/epoxy matrix skin and Nomex core. Addressing insufficient research on after repair in existing literature, this study conducted mechanical tests before using picture frame method. Surface strain measurements are obtained digital image correlation (DIC) techniques, load–displacement stress–strain curves generated from experimental results....
Abstract Background Although the study of environmental factors on forest phenology has attracted attention, and it proposes influences moisture precipitation in rainy season growth change Populus tomentosa. Methods Here, near-earth remote sensing devices are applied to monitor canopy planted tomentosa B301 cultivated under full drip irrigation (DIFI), controlled (DICI) non-irrigation group (CK), calculate relative green vegetation index, adopt TIMESAT3.3 procedure fit time series curve...
In the domain of robotics and autonomous driving, automatic path planning vehicle collision-free motion is an essential task on navigation level. It found that traditional algorithm ployline cannot fully meet driving requirements Ackerman chassis robot. order to solve problem mobile robot in structured environment, this paper presents a new improved algorithm. The method configuration space can introduce robot's own structural size parameters into Through convex polygon detection method,...