Victor Romero-Cano
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A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data
R Tabares-Soto, S Orozco-Arias, V Romero-Cano, VS Bucheli, ...
PeerJ Computer Science 6, e270, 2020
Semantic grid estimation with a hybrid bayesian and deep neural network approach
Ö Erkent, C Wolf, C Laugier, DS González, V Romero Cano
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
Interaction-aware driver maneuver inference in highways using realistic driver models
DS González, V Romero-Cano, JS Dibangoye, C Laugier
2017 IEEE 20th International Conference on Intelligent Transportation …, 2017
Stereo-based Motion Detection and Tracking from a Moving Platform
V Romero-Cano, J Nieto
IEEE Intelligent Vehicles Symposium (IV), 499-504, 2013
Modeling driver behavior from demonstrations in dynamic environments using spatiotemporal lattices
DS González, O Erkent, V Romero-Cano, J Dibangoye, C Laugier
2018 IEEE International Conference on Robotics and Automation (ICRA), 3384-3390, 2018
A variational approach to simultaneous multi-object tracking and classification
V Romero-Cano, G Agamennoni, J Nieto
The International Journal of Robotics Research 35 (6), 654-671, 2016
Map merging strategies for multi-robot FastSLAM: A comparative survey
VA Romero, OLV Costa
2010 Latin American Robotics Symposium and Intelligent Robotics Meeting, 61-66, 2010
Coffee Maturity Classification using Convolutional Neural Networks and Transfer Learning
TMM Alejandro, MR Esteban, VPJ Pablo, BOM Alejandro, RC Victor, ...
IEEE Access, 2022
Monocular visual autonomous landing system for quadcopter drones using software in the loop
M Saavedra-Ruiz, AM Pinto-Vargas, V Romero-Cano
IEEE Aerospace and Electronic Systems Magazine 37 (5), 2-16, 2021
Detection and tracking of a landing platform for aerial robotics applications
MS Ruiz, AMP Vargas, V Romero Cano
2018 IEEE 2nd Colombian Conference on Robotics and Automation (CCRA), 1-6, 2018
A variational approach to simultaneous tracking and classification of multiple objects
V Romero-Cano, G Agamennoni, J Nieto
17th International Conference on Information Fusion (FUSION), 1-8, 2014
Unsupervised motion learning from a moving platform
V Romero-Cano, JI Nieto, G Agamennoni
2013 IEEE Intelligent Vehicles Symposium (IV), 111-115, 2013
Probabilistic Perception System for Object Classification Based on Camera-LiDAR Sensor Fusion
JSO Ceron, V Romero Cano, NL Neuta, W Toro
LatinX in AI Research at ICML 2019, 2019
High-level camera-LiDAR fusion for 3D object detection with machine learning
GA Salazar-Gomez, MA Saavedra-Ruiz, VA Romero-Cano
arXiv preprint arXiv:2105.11060, 2021
XDvision: Dense outdoor perception for autonomous vehicles
V Romero-Cano, N Vignard, C Laugier
2017 IEEE Intelligent Vehicles Symposium (IV), 752-757, 2017
Open source six degree of freedom manipulator robot
F Pedroza, A Araque, V Romero-Cano
Automática y robótica en Latinoamérica Aportes desde la academia, 285, 2021
Probabilistic Motion Inference for Fused Filament Fabrication
F Mercado Rivera, A Rojas Arciniegas, V Romero Cano
Printing for Fabrication, 85-91, 2020
Exploiting the potential of deep reinforcement learning for classification tasks in high-dimensional and unstructured data
JS Obando-Ceron, VR Cano, WM Toro
arXiv preprint arXiv:1912.09595, 2019
Electronic device, system and method for augmenting image data of a passive optical sensor
VR Cano, N Vignard, C Laugier
US Patent App. 16/471,977, 2019
Low-cost recognition and classification system based on LIDAR sensors
NL Neuta, SA Vivas, NV Fajardo, OFR Giraldo, V Romero Cano
2018 IEEE 2nd Colombian Conference on Robotics and Automation (CCRA), 1-6, 2018
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