O. Otaegui

发表

Technology Roadmapping (TRM) and Strategic Alignment for an Applied Research Centre: A Case Study with Methodological Contributions

Seán Gaines, D. Oyarzun, M. Linaza, 2015 .

Virtual passengers for real car solutions: synthetic datasets

M. Nieto, O. Otaegui, Paola Cañas, 2022, ArXiv.

GAMMA - Status and Project Details of a GNSS Mass Market Receiver Development

Günther Abwerzger, Bernhard Hofmann-Wellenhof, Giovanni Emanuele Corazza, 2006 .

Leveraging Synthetic Data for DNN-Based Visual Analysis of Passenger Seats

Nerea Aranjuelo, Luis Unzueta, O. Otaegui, 2022, SN Computer Science.

A temporally consistent grid-based visual odometry framework for multi-core architectures

Leonardo De-Maeztu, M. Nieto, O. Otaegui, 2015, Journal of Real-Time Image Processing.

Public Transportation Algorithm for an Intelligent Routing System

Olatz Arbelaitz, Oihana Otaegui, Pieter Vansteenwegen, 2009 .

Vision-Enhanced Low-Cost Localization in Crowdsourced Maps

Gorka Velez, Oihana Otaegui, Benedict Flade, 2020, IEEE Intelligent Transportation Systems Magazine.

Real-time lane tracking using Rao-Blackwellized particle filter

Luis Salgado, Oihana Otaegui, Marcos Nieto, 2012, Journal of Real-Time Image Processing.

Efficient deformable 3D face model tracking with limited hardware resources

Fadi Dornaika, Oihana Otaegui, Jon Goenetxea, 2020, Multimedia Tools and Applications.

Real-time 3D Modeling of Vehicles in Low-cost Monocamera Systems

Oihana Otaegui, Pedro J. Sánchez, Luis Unzueta, 2016, VISAPP.

Vehicle tracking and classification in challenging scenarios via slice sampling

Oihana Otaegui, Pedro J. Sánchez, Luis Unzueta, 2011, EURASIP J. Adv. Signal Process..

Adaptive Multicue Background Subtraction for Robust Vehicle Counting and Classification

Oihana Otaegui, Pedro J. Sánchez, Luis Unzueta, 2012, IEEE Transactions on Intelligent Transportation Systems.

Key strategies for synthetic data generation for training intelligent systems based on people detection from omnidirectional cameras

Oihana Otaegui, Luis Unzueta, Nerea Aranjuelo, 2021, Comput. Electr. Eng..

Monetisation of and Access to in-Vehicle data and resources: the 5GMETA approach

Djibrilla Amadou Kountché, Mandimby N. Ranaivo Rakotondravelona, E. Bonetto, 2022, ArXiv.

Design and Implementation of an Ontology for Semantic Labeling and Testing: Automotive Global Ontology (AGO)

I. Urbieta, M. Nieto, O. Otaegui, 2021, Applied Sciences.

DMD: A Large-Scale Multi-Modal Driver Monitoring Dataset for Attention and Alertness Analysis

Luis Salgado, Oihana Otaegui, Neslihan Kose, 2020, ECCV Workshops.

3D Object Detection From LiDAR Data Using Distance Dependent Feature Extraction pdf

Oihana Otaegui, Ignacio Arganda-Carreras, Marcos Nieto, 2020, VEHITS.

Benchmarking Deep Neural Network Inference Performance on Serverless Environments With MLPerf

Oihana Otaegui, Ignacio Arganda-Carreras, Unai Elordi, 2021, IEEE Software.

Semi-Automatic Cloud-Native Video Annotation for Autonomous Driving

Oihana Otaegui, Marcos Nieto, Orti Senderos, 2020, Applied Sciences.

A reconfigurable embedded vision system for advanced driver assistance

Oihana Otaegui, Igone Vélez, Ainhoa Cortés, 2015, Journal of Real-Time Image Processing.

Embedding vision-based advanced driver assistance systems: a survey

Oihana Otaegui, Gorka Vélez, O. Otaegui, 2017 .

Optimising computer vision based ADAS: vehicle detection case study

Oihana Otaegui, Gorka Vélez, Marcos Nieto, 2016 .

On creating vision-based advanced driver assistance systems

Oihana Otaegui, Gorka Vélez, Marcos Nieto, 2015 .

Efficient deformable 3D face model tracking with limited hardware resources

F. Dornaika, Luis Unzueta, O. Otaegui, 2020, Multimedia Tools and Applications.

Data-Driven Representation Model of Urban Movement Space

Olatz Arbelaitz, Oihana Otaegui, Harbil Arregui, 2020, ICGDA.

Challenges of Large-Scale Multi-Camera Datasets for Driver Monitoring Systems

L. Salgado, M. Nieto, O. Otaegui, 2022, Sensors.

iLDM: An Interoperable Graph-Based Local Dynamic Map

M. Nieto, O. Otaegui, Mikel García, 2022, Vehicles.

Machine Learning for Autonomic Network Management in a Connected Cars Scenario

Oihana Otaegui, Marco Quartulli, Haytham Assem, 2016, Nets4Cars/Nets4Trains/Nets4Aircraft.

Open Your Eyes: Eyelid Aperture Estimation in Driver Monitoring Systems

Luis Salgado, Oihana Otaegui, Marcos Nieto, 2021, Communications in Computer and Information Science.

Multimodal Deep Learning for Advanced Driving Systems

Oihana Otaegui, Ignacio Arganda-Carreras, Luis Unzueta, 2018, AMDO.

A real-time software framework for driver monitoring systems: software architecture and use cases

Luis Salgado, Oihana Otaegui, Marcos Nieto, 2021, Defense + Commercial Sensing.

Detection of Distraction-related Actions on DMD: An Image and a Video-based Approach Comparison

Oihana Otaegui, Marcos Nieto, Juan Diego Ortega, 2021, VISIGRAPP.

User-adaptive Eyelid Aperture Estimation for Blink Detection in Driver Monitoring Systems

Luis Salgado, Oihana Otaegui, Marcos Nieto, 2020, VEHITS.