Victor Romero-Cano
Cited by
Cited by
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
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
Stereo-based Motion Detection and Tracking from a Moving Platform
V Romero-Cano, J Nieto
IEEE Intelligent Vehicles Symposium (IV), 499-504, 2013
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
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
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
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
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
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
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
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
XDvision: Dense outdoor perception for autonomous vehicles
V Romero-Cano, N Vignard, C Laugier
2017 IEEE Intelligent Vehicles Symposium (IV), 752-757, 2017
Driving assistance method and system
N Vignard, DS GONZALEZ, C Laugier, JS Dibangoye, V Romero-cano
US Patent App. 16/617,941, 2020
Probabilistic Motion Inference for Fused Filament Fabrication
F Mercado Rivera, A Rojas Arciniegas, V Romero Cano
Printing for Fabrication, 85-91, 2020
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
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
Simultaneous Multi-Object Tracking and Classification via Approximate Variational Inference
VA Romero Cano
University of Sydney, 2015
Tutorial sobre o filtro de particulas aplicado em localização de robôs móveis
V Romero, A Reali, F Cozman, L Nunes, F Dellaert
Escola Politécnica da Universidade de São Paulo, sem data de publicação, 2011
Coffee Maturity Classification using Convolutional Neural Networks and Transfer Learning
TMM Alejandro, MR Esteban, VPJ Pablo, BOM Alejandro, RC Victor, ...
IEEE Access, 2022
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