2 citations · 2 across the 4 of their papers we have counts for
5 papers
Explicitly incorporating spatial information to recurrent networks for agriculture
Claus Smitt, Michael Halstead, Alireza Ahmadi +1
In agriculture, the majority of vision systems perform still image classification. Yet, recent work has highlighted the potential of spatial and temporal cues as a rich source of i…
Registration Techniques for Deformable Objects
Alireza Ahmadi
In general, the problem of non-rigid registration is about matching two different scans of a dynamic object taken at two different points in time. These scans can undergo both rigi…
Towards Autonomous Visual Navigation in Arable Fields
Alireza Ahmadi, Michael Halstead, Chris McCool
Autonomous navigation of a robot in agricultural fields is essential for every task from crop monitoring to weed management and fertilizer application. Many current approaches rely…
Virtual Temporal Samples for Recurrent Neural Networks: applied to semantic segmentation in agriculture
Alireza Ahmadi, Michael Halstead, Chris McCool
This paper explores the potential for performing temporal semantic segmentation in the context of agricultural robotics without temporally labelled data. We achieve this by proposi…
Visual Servoing-based Navigation for Monitoring Row-Crop Fields
Alireza Ahmadi, Lorenzo Nardi, Nived Chebrolu +1
Autonomous navigation is a pre-requisite for field robots to carry out precision agriculture tasks. Typically, a robot has to navigate through a whole crop field several times duri…