18 citations · 47 across the 8 of their papers we have counts for
8 papers
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…
PointNetPGAP-SLC: A 3D LiDAR-based Place Recognition Approach with Segment-level Consistency Training for Mobile Robots in Horticulture
T. Barros, L. Garrote, P. Conde +4
3D LiDAR-based place recognition remains largely underexplored in horticultural environments, which present unique challenges due to their semi-permeable nature to laser beams. Thi…
Exploiting Object-based and Segmentation-based Semantic Features for Deep Learning-based Indoor Scene Classification
Ricardo Pereira, Luís Garrote, Tiago Barros +2
Indoor scenes are usually characterized by scattered objects and their relationships, which turns the indoor scene classification task into a challenging computer vision task. Desp…
TReR: A Lightweight Transformer Re-Ranking Approach for 3D LiDAR Place Recognition
Tiago Barros, Luís Garrote, Martin Aleksandrov +2
Autonomous driving systems often require reliable loop closure detection to guarantee reduced localization drift. Recently, 3D LiDAR-based localization methods have used retrieval-…
A Deep Learning-based Global and Segmentation-based Semantic Feature Fusion Approach for Indoor Scene Classification
Ricardo Pereira, Tiago Barros, Luis Garrote +2
This work proposes a novel approach that uses a semantic segmentation mask to obtain a 2D spatial layout of the segmentation-categories across the scene, designated by segmentation…
Place recognition survey: An update on deep learning approaches
Tiago Barros, Ricardo Pereira, Luís Garrote +2
Autonomous Vehicles (AV) are becoming more capable of navigating in complex environments with dynamic and changing conditions. A key component that enables these intelligent vehicl…
AttDLNet: Attention-based DL Network for 3D LiDAR Place Recognition
Tiago Barros, Luís Garrote, Ricardo Pereira +2
LiDAR-based place recognition is one of the key components of SLAM and global localization in autonomous vehicles and robotics applications. With the success of DL approaches in le…
High-resolution LIDAR-based Depth Mapping using Bilateral Filter
C. Premebida, L. Garrote, A. Asvadi +2
High resolution depth-maps, obtained by upsampling sparse range data from a 3D-LIDAR, find applications in many fields ranging from sensory perception to semantic segmentation and…