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He KONG(孔贺)
He KONG(孔贺)
Associate Professor, Southern University of Science and Technology, Shenzhen, China
Verified email at sustech.edu.cn - Homepage
Title
Cited by
Cited by
Year
Intelligent perception for cattle monitoring: A review for cattle identification, body condition score evaluation, and weight estimation
Y Qiao, H Kong, C Clark, S Lomax, D Su, S Eiffert, S Sukkarieh
Computers and Electronics in Agriculture 185, 106143, 2021
1032021
Individual Cattle Identification Using a Deep Learning Based Framework
Y Qiao, D Su, H Kong, S Sukkarieh, S Lomax, C Clark
Proc. of the 6th IFAC AGRICONTROL 52 (30), 318-323, 2019
742019
Data augmentation for deep learning based semantic segmentation and crop-weed classification in agricultural robotics
D Su, H Kong, Y Qiao, S Sukkarieh
Computers and Electronics in Agriculture 190, 106418, 2021
682021
Robust model predictive control: Reflections and opportunities
GC Goodwin, H Kong, G Mirzaeva, MM Seron
Journal of Control and Decision 1 (2), 115-148, 2014
632014
Real time detection of inter-row ryegrass in wheat farms using deep learning
D Su, Y Qiao, H Kong, S Sukkarieh
Biosystems Engineering 204, 198-211, 2021
392021
An internal model approach to estimation of systems with arbitrary unknown inputs
H Kong, S Sukkarieh
Automatica 108, 108482, 2019
392019
Path Planning in Dynamic Environments using Generative RNNs and Monte Carlo Tree Search
S Eiffert, H Kong, N Pirmarzdashti, S Sukkarieh
2020 IEEE Int. Conference on Robotics and Automation (ICRA), 2020
352020
Intelligent perception-based cattle lameness detection and behaviour recognition: A review
Y Qiao, H Kong, C Clark, S Lomax, D Su, S Eiffert, S Sukkarieh
Animals 11 (11), 3033, 2021
332021
A revisit to inverse optimality of linear systems
H Kong, G Goodwin, M Seron
International Journal of Control 85 (10), 1506-1514, 2012
332012
BiLSTM-based Individual Cattle Identification for Automated Precision Livestock Farming
Y Qiao, D Su, H Kong, S Sukkarieh, S Lomax, C Clark
2020 IEEE 16th Int. Conf. on Automation Science and Engineering (CASE), 967-972, 2020
322020
Predictive Metamorphic Control
H Kong, G Goodwin, M Seron
Automatica 49 (12), 3670–3676, 2013
302013
Suboptimal receding horizon estimation via noise blocking
H Kong, S Sukkarieh
Automatica 98, 66-75, 2018
242018
Kalman filtering under unknown inputs and norm constraints
H Kong, M Shan, S Sukkarieh, T Chen, WX Zheng
Automatica 133, 109871, 2021
232021
Data Augmentation for Deep Learning based Cattle Segmentation in Precision Livestock Farming
Y Qiao, D Su, H Kong, S Sukkarieh, S Lomax, C Clark
2020 IEEE 16th Int. Conf. on Automation Science and Engineering (CASE), 979-984, 2020
212020
Energy Aware Mission Planning for WMRs on Uneven Terrains
ND Wallace, H Kong, AJ Hill, S Sukkarieh
Proc. of the 6th IFAC AGRICONTROL 52 (30), 149-154, 2019
192019
Metamorphic moving horizon estimation
H Kong, S Sukkarieh
Automatica 97, 167-171, 2018
192018
Necessary and Sufficient Conditions for Observability of SLAM-Based TDOA Sensor Array Calibration and Source Localization
D Su, H Kong, S Sukkarieh, S Huang
IEEE Transactions on Robotics 37 (5), 1451-1468, 2021
182021
Experimental validation of structured receding horizon estimation and control for mobile ground robot slip compensation
ND Wallace, H Kong, AJ Hill, S Sukkarieh
Field and Service Robotics: Results of the 12th International Conference …, 2021
182021
Filtering for systems subject to unknown inputs without a priori initial information
H Kong, M Shan, D Su, Y Qiao, A Al-Azzawi, S Sukkarieh
Automatica 120, 109122, 2020
182020
Receding horizon estimation and control with structured noise blocking for mobile robot slip compensation
ND Wallace, H Kong, AJ Hill, S Sukkarieh
2019 IEEE Int. Conference on Robotics and Automation (ICRA), 1169-1175, 2019
182019
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