activity
20182023
most citedDeep learning-based Crop Row Detection for Infield Navigation of Agri-Robots

8 citations · 13 across the 11 of their papers we have counts for

collaborators

18 papers

cs.RO2023★ 1 cited

Leaving the Lines Behind: Vision-Based Crop Row Exit for Agricultural Robot Navigation

Rajitha de Silva, Grzegorz Cielniak, Junfeng Gao

Usage of purely vision based solutions for row switching is not well explored in existing vision based crop row navigation frameworks. This method only uses RGB images for local fe…

cs.RO2022

Collection and Evaluation of a Long-Term 4D Agri-Robotic Dataset

Riccardo Polvara, Sergi Molina Mellado, Ibrahim Hroob +2

Long-term autonomy is one of the most demanded capabilities looked into a robot. The possibility to perform the same task over and over on a long temporal horizon, offering a high…

cs.RO2022

Cloud Hopping; Navigating in 3D Uneven Environments via Supervoxels and Control Lyapunov Function

Fetullah Atas, Grzegorz Cielniak, Lars Grimstad

This paper presents a novel feedback motion planning method for mobile robot navigation in 3D uneven terrains. We take advantage of the \textit{supervoxel} representation of point…

cs.CV2022

Vision based Crop Row Navigation under Varying Field Conditions in Arable Fields

Rajitha de Silva, Grzegorz Cielniak, Junfeng Gao

Accurate crop row detection is often challenged by the varying field conditions present in real-world arable fields. Traditional colour based segmentation is unable to cater for al…

cs.CV2022

Statistical shape representations for temporal registration of plant components in 3D

Karoline Heiwolt, Cengiz Öztireli, Grzegorz Cielniak

Plants are dynamic organisms and understanding temporal variations in vegetation is an essential problem for robots in the wild. However, associating repeated 3D scans of plants ac…

cs.CV2022★ 8 cited

Deep learning-based Crop Row Detection for Infield Navigation of Agri-Robots

Rajitha de Silva, Grzegorz Cielniak, Gang Wang +1

Autonomous navigation in agricultural environments is challenged by varying field conditions that arise in arable fields. State-of-the-art solutions for autonomous navigation in su…