41 citations · 75 across the 22 of their papers we have counts for
5 papers · 1 filter
Reducing the False Positive Rate Using Bayesian Inference in Autonomous Driving Perception
Gledson Melotti, Johann J. S. Bastos, Bruno L. S. da Silva +2
Object recognition is a crucial step in perception systems for autonomous and intelligent vehicles, as evidenced by the numerous research works in the topic. In this paper, object…
A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object Detection
Pedro Conde, Rui L. Lopes, Cristiano Premebida
The proliferation of Deep Neural Networks has resulted in machine learning systems becoming increasingly more present in various real-world applications. Consequently, there is a g…
Multispectral Image Segmentation in Agriculture: A Comprehensive Study on Fusion Approaches
Nuno Cunha, Tiago Barros, Mário Reis +3
Multispectral imagery is frequently incorporated into agricultural tasks, providing valuable support for applications such as image segmentation, crop monitoring, field robotics, a…
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-…
Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural Networks
Pedro Conde, Tiago Barros, Rui L. Lopes +2
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. Thi…