41 citations · 75 across the 22 of their papers we have counts for
22 papers
Scale-based Approach for Active Wildfire Segmentation on Satellite Imagery
Matheus F. Kovaleski, Cristiano Premebida, João Ruivo Paulo
Active wildfire mapping from satellite imagery is challenging due to the sparse and highly imbalanced nature of fire pixels, especially in early-stage or low-density fire observati…
Multimodal RGB-Infrared Combination for UAV-Based Wildfire Segmentation: A Comparative Study on FLAME3
Matheus F. Kovaleski, Luís Garrote, Cristiano Premebida +2
Unmanned Aerial Vehicles (UAVs) have emerged as a promising platform for firefighting operations due to their flexibility, low operational cost, and ability to acquire high-resolut…
Seg2Track++: Probabilistic Track Validation and Data Association for Multi-Object Tracking and Segmentation
Diogo Mendonça, Tiago Barros, Cristiano Premebida +1
Autonomous systems require robust Multi-Object Tracking and Segmentation (MOTS) to operate reliably in dynamic environments, ensuring consistent object identities and precise mask-…
Impact of 3D LiDAR Resolution in Graph-based SLAM Approaches: A Comparative Study
J. Jorge, T. Barros, C. Premebida +3
Simultaneous Localization and Mapping (SLAM) is a key component of autonomous systems operating in environments that require a consistent map for reliable localization. SLAM has be…
SPVSoAP3D: A Second-order Average Pooling Approach to enhance 3D Place Recognition in Horticultural Environments
T. Barros, C. Premebida, S. Aravecchia +2
3D LiDAR-based place recognition has been extensively researched in urban environments, yet it remains underexplored in agricultural settings. Unlike urban contexts, horticultural…
Multi-scale Feature Fusion with Point Pyramid for 3D Object Detection
Weihao Lu, Dezong Zhao, Cristiano Premebida +3
Effective point cloud processing is crucial to LiDARbased autonomous driving systems. The capability to understand features at multiple scales is required for object detection of i…