1 citations · 1 across the 5 of their papers we have counts for
5 papers
Unsupervised Tomato Split Anomaly Detection using Hyperspectral Imaging and Variational Autoencoders
Mahmoud Abdulsalam, Usman Zahidi, Bradley Hurst +3
Tomato anomalies/damages pose a significant challenge in greenhouse farming. While this method of cultivation benefits from efficient resource utilization, anomalies can significan…
Resilient Timed Elastic Band Planner for Collision-Free Navigation in Unknown Environments
Geesara Kulathunga, Abdurrahman Yilmaz, Zhuoling Huang +6
In autonomous navigation, trajectory replanning, refinement, and control command generation are essential for effective motion planning. This paper presents a resilient approach to…
Optimising robotic operation speed with edge computing over 5G networks: Insights from selective harvesting robots
Usman A. Zahidi, Arshad Khan, Tsvetan Zhivkov +8
Selective harvesting by autonomous robots will be a critical enabling technology for future farming. Increases in inflation and shortages of skilled labour are driving factors that…
Dual-band feature selection for maturity classification of specialty crops by hyperspectral imaging
Usman A. Zahidi, Krystian Łukasik, Grzegorz Cielniak
The maturity classification of specialty crops such as strawberries and tomatoes is an essential agricultural downstream activity for selective harvesting and quality control (QC)…
LTS-NET: End-to-end Unsupervised Learning of Long-Term 3D Stable objects
Ibrahim Hroob, Sergi Molina, Riccardo Polvara +2
In this research, we present an end-to-end data-driven pipeline for determining the long-term stability status of objects within a given environment, specifically distinguishing be…