Victor Romero-Cano

17 papers A* 1A 1B 3C 1Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
CrazyKhoreia: A Robotic Perception System for MAV Path Planning From Digital Images.
SN Comput. Sci.
Santiago Restrepo-Garcia, Victor Romero-Cano
2024 J jnl
On the Human-Machine Gap in Car Racing: A Comparative Analysis of Machine Performance Against Human Drivers.
IEEE Access
Eugenio Alcala, Victor Romero-Cano
2024 — conf
Sampling-Based Motion Planning for Guide Robots Considering User Pose Uncertainty.
TAROS (1)
Juan S. Mosquera-Maturana, Juan David Hernández Vega, Victor Romero-Cano
2023 J jnl
Corrigendum: Ring attractor bio-inspired neural network for social robot navigation.
Frontiers Neurorobotics
Jesús D. Rivero-Ortega, Juan S. Mosquera-Maturana, Josh Pardo-Cabrera, Julián Hurtado-López, Juan D. Hernández, Victor Romero-Cano, David Fernando Ramirez-Moreno
2023 J jnl
Probabilistic Multimodal Depth Estimation Based on Camera-LiDAR Sensor Fusion.
CoRR
Johan S. Obando-Ceron, Victor Romero-Cano, Sildomar Monteiro
2023 J jnl
Ring attractor bio-inspired neural network for social robot navigation.
Frontiers Neurorobotics
Jesús D. Rivero-Ortega, Juan S. Mosquera-Maturana, Josh Pardo-Cabrera, Julián Hurtado-López, Juan D. Hernández, Victor Romero-Cano, David Fernando Ramirez-Moreno
2022 J jnl
Coffee Maturity Classification Using Convolutional Neural Networks and Transfer Learning.
IEEE Access
Manuel Alejandro Tamayo Monsalve, Esteban Mercado Ruiz, Juan Pablo Villa Pulgarin, Mario Alejandro Bravo-Ortiz, Harold Brayan Arteaga-Arteaga, Alejandro Mora-Rubio, Jesús Alejandro Alzate-Grisales, Daniel Arias-Garzón, Victor Romero-Cano, Simon Orozco-Arias, Gustavo Osorio, Reinel Tabares-Soto
2020 J jnl
A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data.
PeerJ Comput. Sci.
Reinel Tabares-Soto, Simon Orozco-Arias, Victor Romero-Cano, Vanesa Segovia Bucheli, José Luis Rodríguez-Sotelo, Cristian Felipe Jiménez-Varón
2019 J jnl
Exploiting the potential of deep reinforcement learning for classification tasks in high-dimensional and unstructured data.
CoRR
Johan S. Obando-Ceron, Victor Romero-Cano, Walter Mayor Toro
2018 A* conf
Modeling Driver Behavior from Demonstrations in Dynamic Environments Using Spatiotemporal Lattices.
ICRA
David Sierra González, Özgür Erkent, Victor Romero-Cano, Jilles Steeve Dibangoye, Christian Laugier
2018 A conf
Semantic Grid Estimation with a Hybrid Bayesian and Deep Neural Network Approach.
IROS
Özgür Erkent, Christian Wolf, Christian Laugier, David Sierra González, Victor Romero-Cano
2017 — conf
Interaction-aware driver maneuver inference in highways using realistic driver models.
ITSC
David Sierra González, Victor Romero-Cano, Jilles Steeve Dibangoye, Christian Laugier
2017 B conf
XDvision: Dense outdoor perception for autonomous vehicles.
Intelligent Vehicles Symposium
Victor Romero-Cano, Nicolas Vignard, Christian Laugier
2016 J jnl
A variational approach to simultaneous multi-object tracking and classification.
Int. J. Robotics Res.
Victor Romero-Cano, Gabriel Agamennoni, Juan I. Nieto
2014 C conf
A variational approach to simultaneous tracking and classification of multiple objects.
FUSION
Victor Romero-Cano, Gabriel Agamennoni, Juan I. Nieto
2013 B conf
Stereo-based motion detection and tracking from a moving platform.
Intelligent Vehicles Symposium
Victor Romero-Cano, Juan I. Nieto
2013 B conf
Unsupervised motion learning from a moving platform.
Intelligent Vehicles Symposium
Victor Romero-Cano, Juan I. Nieto, Gabriel Agamennoni