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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
752020
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
352018
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
242017
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
212018
Stereo-based Motion Detection and Tracking from a Moving Platform
V Romero-Cano, J Nieto
IEEE Intelligent Vehicles Symposium (IV), 499-504, 2013
212013
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
182016
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
162010
Coffee Maturity Classification using Convolutional Neural Networks and Transfer Learning
TMM Alejandro, MR Esteban, VPJ Pablo, BOM Alejandro, RC Victor, ...
IEEE Access, 2022
15*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
142021
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
102018
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
102014
Unsupervised motion learning from a moving platform
V Romero-Cano, JI Nieto, G Agamennoni
2013 IEEE Intelligent Vehicles Symposium (IV), 111-115, 2013
92013
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
42021
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
32019
XDvision: Dense outdoor perception for autonomous vehicles
V Romero-Cano, N Vignard, C Laugier
2017 IEEE Intelligent Vehicles Symposium (IV), 752-757, 2017
32017
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
22021
Probabilistic Motion Inference for Fused Filament Fabrication
F Mercado Rivera, A Rojas Arciniegas, V Romero Cano
Printing for Fabrication, 85-91, 2020
2*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
22019
A photogrammetric system for dendrometric feature estimation of individual trees
DT Collazos, V Romero Cano, JCP Villota, WM Toro
2018 IEEE 2nd Colombian Conference on Robotics and Automation (CCRA), 1-6, 2018
22018
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
22018
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Articles 1–20