15 citations · 17 across the 5 of their papers we have counts for
6 papers
Joint object detection and re-identification for 3D obstacle multi-camera systems
Irene Cortés, Jorge Beltrán, Arturo de la Escalera +1
In recent years, the field of autonomous driving has witnessed remarkable advancements, driven by the integration of a multitude of sensors, including cameras and LiDAR systems, in…
Self-awareness in intelligent vehicles: Feature based dynamic Bayesian models for abnormality detection
Divya Thekke Kanapram, Pablo Marin-Plaza, Lucio Marcenaro +3
The evolution of Intelligent Transportation Systems in recent times necessitates the development of self-awareness in agents. Before the intensive use of Machine Learning, the dete…
Self-awareness in Intelligent Vehicles: Experience Based Abnormality Detection
Divya Kanapram, Pablo Marin-Plaza, Lucio Marcenaro +3
The evolution of Intelligent Transportation System in recent times necessitates the development of self-driving agents: the self-awareness consciousness. This paper aims to introdu…
Triplet Permutation Method for Deep Learning of Single-Shot Person Re-Identification
M. J. Gómez-Silva, J. M. Armingol, A. de la Escalera
Solving Single-Shot Person Re-Identification (Re-Id) by training Deep Convolutional Neural Networks is a daunting challenge, due to the lack of training data, since only two images…
siaNMS: Non-Maximum Suppression with Siamese Networks for Multi-Camera 3D Object Detection
Irene Cortes, Jorge Beltran, Arturo de la Escalera +1
The rapid development of embedded hardware in autonomous vehicles broadens their computational capabilities, thus bringing the possibility to mount more complete sensor setups able…
BirdNet: a 3D Object Detection Framework from LiDAR information
Jorge Beltran, Carlos Guindel, Francisco Miguel Moreno +3
Understanding driving situations regardless the conditions of the traffic scene is a cornerstone on the path towards autonomous vehicles; however, despite common sensor setups alre…