no code implementations • 11 Apr 2024 • Ricardo Pereira, Luís Garrote, Tiago Barros, Ana Lopes, Urbano J. Nunes
Hence, a novel approach that uses a semantic segmentation mask to provide Hu-moments-based segmentation categories' shape characterization, designated by Segmentation-based Hu-Moments Features (SHMFs), is proposed.
1 code implementation • 31 Jul 2023 • Nuno Cunha, Tiago Barros, Mário Reis, Tiago Marta, Cristiano Premebida, Urbano J. Nunes
Multispectral imagery is frequently incorporated into agricultural tasks, providing valuable support for applications such as image segmentation, crop monitoring, field robotics, and yield estimation.
no code implementations • 29 May 2023 • Tiago Barros, Luís Garrote, Martin Aleksandrov, Cristiano Premebida, Urbano J. Nunes
Autonomous driving systems often require reliable loop closure detection to guarantee reduced localization drift.
1 code implementation • 11 Apr 2023 • Pedro Conde, Tiago Barros, Rui L. Lopes, Cristiano Premebida, Urbano J. Nunes
With the rise of Deep Neural Networks, machine learning systems are nowadays ubiquitous in a number of real-world applications, which bears the need for highly reliable models.
no code implementations • 13 Feb 2023 • Ricardo Pereira, Tiago Barros, Luis Garrote, Ana Lopes, Urbano J. Nunes
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-based semantic features (SSFs).
no code implementations • 19 Jun 2021 • Tiago Barros, Ricardo Pereira, Luís Garrote, Cristiano Premebida, Urbano J. Nunes
As part of the localization system, place recognition has benefited from recent developments in other perception tasks such as place categorization or object recognition, namely with the emergence of deep learning (DL) frameworks.
1 code implementation • 17 Jun 2021 • Tiago Barros, Luís Garrote, Ricardo Pereira, Cristiano Premebida, Urbano J. Nunes
LiDAR-based place recognition is one of the key components of SLAM and global localization in autonomous vehicles and robotics applications.
1 code implementation • 17 May 2021 • Alberto Zancanaro, Giulia Cisotto, João Ruivo Paulo, Gabriel Pires, Urbano J. Nunes
In this paper, we first present a review of the most recent studies using deep learning for MI classification, with particular attention to their cross-subject performance.