1 citations · 1 across the 2 of their papers we have counts for
3 papers
Heterogeneous LiDAR Early Fusion and Learned Re-Ranking Strategy for Robust Long-Term Place Recognition in Unstructured Environments
Judith Vilella-Cantos, Juan José Cabrera, Mónica Ballesta +2
Robust localization in unstructured environments, such as agricultural fields, is a critical challenge for autonomous systems. LiDAR sensors provide detailed 3D information about t…
Low Cost, High Efficiency: LiDAR Place Recognition in Vineyards with Matryoshka Representation Learning
Judith Vilella-Cantos, Mauro Martini, Marcello Chiaberge +2
Localization in agricultural environments is challenging due to their unstructured nature and lack of distinctive landmarks. Although agricultural settings have been studied in the…
Advanced techniques and applications of LiDAR Place Recognition in Agricultural Environments: A Comprehensive Survey
Judith Vilella-Cantos, Mónica Ballesta, David Valiente +2
An optimal solution to the localization problem is essential for developing autonomous robotic systems. Apart from autonomous vehicles, precision agriculture is one of the elds tha…