4 papers
Getting the Numbers Right$\unicode{x2014}$Modelling Multi-Class Object Counting in Dense and Varied Scenes
Villanelle O'Reilly, Jonathan Cox, Georgios Leontidis +3
Density map estimation enables accurate object counting in heavily occluded, and densely packed scenes where detection-based counting fails. In multi-class density estimation, clas…
Semantic Landmark Particle Filter for Robot Localisation in Vineyards
Rajitha de Silva, Jonathan Cox, James R. Heselden +3
Reliable localisation in vineyards is hindered by row-level perceptual aliasing: parallel crop rows produce nearly identical LiDAR observations, causing geometry-only and vision-ba…
Semantic-Aware Particle Filter for Reliable Vineyard Robot Localisation
Rajitha de Silva, Jonathan Cox, James R. Heselden +3
Accurate localisation is critical for mobile robots in structured outdoor environments, yet LiDAR-based methods often fail in vineyards due to repetitive row geometry and perceptua…
Keypoint Semantic Integration for Improved Feature Matching in Outdoor Agricultural Environments
Rajitha de Silva, Jonathan Cox, Marija Popovic +3
Robust robot navigation in outdoor environments requires accurate perception systems capable of handling visual challenges such as repetitive structures and changing appearances. V…