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  • Image Enhancement using GANs for Monocular Visual Odometry 

    Zubieta Ansorregi, Jon; Etxeberria Garcia, Mikel; Zamalloa Akizu, Maider; Arana-Arexolaleiba, Nestor (IEEE, 2021)
    Drones, mobile robots, and autonomous vehicles use Visual Odometry (VO) to move around complex environments. ORB-SLAM or deep learning-based approaches like DF-VO are two of the state-of-the-art technics for monocular VO. ...
  • Robustness Evaluation of Energy Management Strategies for Hydrogen-Based Railway Vehicles 

    Olmos, Josu; Saez-de-Ibarra, Andoni; Gaztañaga, Haizea; Lopez, José Dimas; Nieva, Txomin; Aizpuru, Iosu (IEEE, 2023)
    This paper presents a robustness analysis of different energy management strategies designed for hydrogen-based rail vehicles. From the analyzed 4 strategies, one is based on dynamic programming, two are rule-based strategies ...
  • Adaptive long-term traffic state estimation with evolving spiking neural networks 

    Laña, Ibai (Elsevier, 2019-01-29)
    Due to the nature of traffic itself, most traffic forecasting models reported in literature aim at producing short-term predictions, yet their performance degrades when the prediction horizon is increased. The scarce ...
  • Road traffic forecasting: recent advances and new challenges 

    Laña, Ibai (IEEE, 2018-04-20)
    Due to its paramount relevance in transport planning and logistics, road traffic forecasting has been a subject of active research within the engineering community for more than 40 years. In the beginning most approaches ...
  • Lecture notes on Berry phases and topology 

    Bradlyn, Barry; Iraola, Mikel (SciPost Foundation, 2022)
    In these notes, we review the role of Berry phases and topology in noninteracting electron systems. Topics including the adiabatic theorem, parallel transport, and Wannier functions are reviewed, with a focus on the ...

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