Multi-Objective Genetic Algorithm for Optimizing an ELM-Based Driver Distraction Detection System

Authors:: J. Echanobe; K. Basterretxea; I. del Campo; V. Martínez; N. Vidal
Year:: 2022
Journal:: IEEE Transactions on Intelligent Transportation Systems
Volume:: 23 (8)
Initial page - Ending page:: 11946 - 11959
ISBN/ISSN:: 1524-9050
DOI:: 10.1109/TITS.2021.3108851

"An eco-driving approach for ride comfort improvement"

An eco-driving approach for ride comfort improvement

Authors:: O. Mata-Carballeira, I. del Campo, E. Asua
Year:: 2022
Journal:: IET INTELLIGENT TRANSPORT SYSTEMS
Volume:: 16(2)
Initial page - Ending page:: 186 - 205

Publications

Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe Optimization of DNN-based HSI segmentation FPGA-based SOC for ADS: A practical approach ACM Transactions on Embedded Computing Systems, 2025; 24, 1 - 27
Jon Gutiérrez-Zaballa, Koldo Basterretxea, and Javier Echanobe Balancing Robustness and Efficiency in Embedded DNNs Through Activation Function Selection IET Electronics Letters, 2025; 61
Jon Aramendia, Andrea Cabrera, Jon Martín, Jose Ángel Gumiel, Koldo Basterretxea Neural Network Implementation for Fire Detection in Critical Infrastructures: A Comparative Analysis on Embedded Edge Devices MDPI Electronics, 2025; 14
Jon Gutiérrez-Zaballa, Koldo Basterretxea, and Javier Echanobe Evaluating single event upsets in deep neural networks for semantic segmentation: An embedded system perspective Journal of Systems Architecture, 2024; 154, 1383-7621
Ruiz Colmenares J.; Asua, E.; del Campo I. Driving style assessment from the motion sickness perspective based on machine learning techniques Applied Sciences (Q2), 2023; 13
M. Szántó, C. Hidalgo, L. González, J. P. Rastelli, E. Asua and L. Vajta Trajectory Planning of Automated Vehicles Using Real-Time Map Updates IEEE Access (Q2), 2023; 11, 67468 - 67481
Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe, M. Victoria Martínez, Unai Martinez-Corral, Óscar Mata-Carballeira, and Inés del Campo On-chip Hyperspectral Image Segmentation with Fully Convolutional Networks for Scene Understanding in Autonomous Driving JOURNAL OF SYSTEM ARCHITECTURE., 2023; 139, 102878 - 102900 - 1383-7621
O. Mata-Carballeira, I. del Campo, E. Asua An eco-driving approach for ride comfort improvement IET INTELLIGENT TRANSPORT SYSTEMS, 2022; 16(2), 186 - 205
E. Asua, J. Gutierrez-Zaballa, O. Mata-Carballeira, J.A. Ruiz, I. del Campo Analysis of the Motion Sickness and the Lack of Comfort in Car Passengers APPLIED SCIENCES-BASEL, 2022; 12(8)
J. Echanobe; K. Basterretxea; I. del Campo; V. Martínez; N. Vidal Multi-Objective Genetic Algorithm for Optimizing an ELM-Based Driver Distraction Detection System IEEE Transactions on Intelligent Transportation Systems, 2022; 23 (8), 11946 - 11959 - 1524-9050
Óscar Mata‐Carballeira, Inés del Campo, Estibaliz Asua An eco‐driving approach for ride comfort improvement IET Intelligent Transport Systems, 2022; 16, 186 - 205
Óscar Mata-Carballeira, Mikel Díaz-Rodríguez, Inés del Campo, Victoria Martínez An Intelligent System-on-a-Chip for a Real-Time Assessment of Fuel Consumption to Promote Eco-Driving Applied Sciences IF: 2.474 (Q2), 2020; 10(18)
Óscar Mata-Carballeira, Mikel Díaz-Rodríguez, Inés del Campo, Victoria Martínez An intelligent system-on-a-chip for a real-time assessment of fuel consumption to promote eco-driving Applied Sciences, 2020; 10
Inés del Campo, Victoria Martínez, Javier Echanobe, Estibalitz Asua, Raúl Finker, Koldo Basterretxea A versatile hardware/software platform for personalized driver assistance based on online sequential extreme learning machines Neural Computing & Applications, 2019
Óscar Mata-Carballeira, Jon Gutiérrez-Zaballa, Inés del Campo, Victoria Martínez An FPGA-Based Neuro-Fuzzy Sensor for Personalized Driving Assistance Sensors IF: 3.031 (Q1), 2019; 19(18)
I. del Campo, M.V. Martínez, J. Echanobe, E. Asua, R. Finker, and K. Basterretxea A versatile hardware/software platform for personalized driver assistance based on online sequential extreme learning machines Neural Computing & Applications, 2019; 31, 8871 - 8886
M.A. Braun, S. Seijo, J. Echanobe, P.K. Shukla, I. del Campo, J. Garcia-Sedano, H. Schmeck A neuro-genetic approach for modeling and optimizing a complex cogeneration process Applied Soft Computing, 2017; 48, 347 - 358
S. Seijo; I. del Campo; J. Echanobe; J. García-Sedano Modeling and multi-objective optimization of a complex CHP Process Applied Energy, 2016; 161, 309 - 319
K. Basterretxea, I. del Campo, M.V. Martínez, and J. Echanobe. A fault Tolerant Single-Chip Intelligent Agent with Feature Extraction Capability Applied Soft Computing (Elsevier), 2014; 22, 358 - 371
J. Echanobe; I. del Campo; K. Basterretxea; M.V. Martínez; F. Doctor An FPGA-based multiprocessor-architecture for intelligent environments Microprocessors and Microsystems, 2014; 38, 730 - 740
Sandra Seijo Fernández, I. del Campo, J. Echanobe, J. García-Sedano, E. Suso, E. Arbizu Modeling and multi-objective optimization of a complex CHP Process International Journal of Energy Environment Engineering, 2014; 5, 1 - 10
G Bosque; I. del Campo; J. Echanobe Fuzzy systems, neural networks and neuro-fuzzy systems: A vision on their hardware implementation and platforms over two decades Engineering Applications of Artificial Intelligence, 2014; 32, 283 - 331
G. Bosque; I. del Campo; J. Echanobe Modelizing a non-linear system: a computational efficient adaptive neuro-fuzzy system tool based on matlab Journal of Advanced Computer Science and Technology, 2014; 3, 61 - 89
I. del Campo, R. Finker, J. Echanobe, and K. Basterretxea Controlled accuracy approximation of the sigmoid function for efficient FPGA-based implementation of artificial neurons Electronics Letters, 2013; 49, 1598 - 1600
I. del Campo, K. Basterretxea, J. Echanobe, G. Bosque, F. Doctor A System-on-Chip Development of a Neuro-Fuzzy Embedded Agent for Ambient-Intelligence Environments IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2012; 42, 501 - 512
I. del Campo, J. Echanobe, K. Basterretxea, G. Bosque Scalable Architecture for High-Speed Multidimensional Fuzzy Inference Systems JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 2011; 20, no.3, 375 - 400
K. Basterretxea, and I. del Campo Electronic Hardware for Fuzzy Computation Electronic Hardware for Fuzzy Computation. Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design, A. Laurent, M-J Lesot, eds. IGI Global , USA, 2009
J. Echanobe, I. del Campo, G. Bosque An adaptive neuro-fuzzy system for efficient implementations INFORMATION SCIENCES, 2008; 178 no. 9, 2150 - 2162
P. Echevarría, M.V. Martínez, J. Echanobe, I. del Campo, and J.M. Tarela Digital hardware implementation of high dimensional fuzzy systems. Applications of Fuzzy Sets Theory, Lecture Notes in Computer Science Springer, Berlín / Heidelberg, 2008; 4578
I. del Campo, J. Echanobe, G. Bosque, J. M. Tarela Efficient hardware/software implementation of an adaptive neuro-fuzzy system IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2008; 16 no. 3, 761 - 778
G. Bosque, J. Echanobe, I. del Campo, J.M. Tarela Modelling and Synthesis of Computational efficient adaptive neuro-fuzzy systems based on Matlab. Lecture Notes in Computer Science, Kurkova, V, Neruda, R, Koutnik J. Eds. Springer, Berlin-Heidelberg, 2008
K. Basterretxea, J. M. Tarela, I. del Campo, G. Bosque An Experimental Study on Nonlinear Function Computation for Neural/Fuzzy Hardware Design IEEE TRANSACTIONS ON NEURAL NETWORKS, 2007; 18, 266 - 283
K. Basterretxea, J. M. Tarela, I. del Campo Digital gaussian membership function circuit for neuro-fuzzy hardware ELECTRONIC LETTERS, 2006; 42, 44 - 46
J. Echanobe, I. del Campo, J. M. Tarela Issues concerning the analysis and implementation of a class of fuzzy controllers FUZZY SETS AND SYSTEMS, 2005; 155 no. 2, 252 - 271
K. Basterretxea, J. M. Tarela, I. del Campo Approximation of Sigmoid Function and the Derivative for Hardware Implementation of Artificial Neuron IEE- DEVICES, CIRCUITS AND SYSTEMS, 2004; 151, no. 1, 18 - 24
J. R. Garitagoitia, J. R. Glez. de Mendívil, J. Echanobe, J. J. Astrain, F. Fariña Deformed Fuzzy Automata for Correcting Imperfect Strings of Fuzzy Symbols IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2003; 11 no. 3, 299 - 310
I. del Campo, J. Echanobe, and J.M. Tarela Design and Synthesis of Piecewise-linear Fuzzy Systems Applications and Science in Soft Computing. Springer, London (UK), 2003; 24, 111 - 118
K. Basterretxea, J.M. Tarela, and I. del Campo Gaussian Function Approximation in Neuro-Fuzzy Systems Systems. Applications and Science in Soft Computing. Springer, London (UK), 2003; 24, 163 - 170
K. Basterretxea, J. M. Tarela, I. del Campo Digital Design of Sigmoid Approximators for Artificial Neural Networks ELECTRONIC LETTERS, 2002; 38, 35 - 37
J. M. Tarela, K. Basterretxea, I. del Campo, M.V. Martínez, E. Alonso Optimised PWL Recursive Approximation ans its Application to Neuro-fuzzy Systems MATHEMATICAL AND COMPUTER MODELLING, 2002; 35, 867 - 883
K. Basterretxea, J.M. Tarela, and I. del Campo Approximation of Sigmoid Function and the Derivative for Artificial Neurons, in "Advances in Neural Networks and Applications World Scientific. USA, 2001; 960-8052-26-2
I. del Campo, J.M. Tarela, and K. Basterretxea Quantization Errors in Digital Implementations of Fuzzy Controllers Digital Controller Implementation Ans Fragility: A Modern Perspective, Springer Verlag. London, 2001; 1-85233-390-1
I. del Campo, J.M. Tarela Consequences of the Digitization on the Performance of a Fuzzy Logic Controller IEEE TRANSACTIONS ON FUZZY SYSTEMS, 1999; 7, 85 - 92
K. Basterretxea, E. Alonso, J.M. Tarela, and I. del Campo PWL Approximation of Non-linear Functions for the Implementation of Neuro-Fuzzy Systems, in "Computational Intelligence and Applications" World Scientific. USA, 1999; 960-8052-05-X
I. del Campo, R. Callao, and J. M. Tarela Automatic Implementation of Different Inference Architectures for Fuzzy Control on PLDs COMPUTERS AND ELECTRICAL ENGINEERING, 1998; 24, 113 - 121
J. Echanobe, J.R. Glez. de Mendívil, J. R. Garitagoitia, C. Alastruey Deformed Systems for Contextual Postproccesing FUZZY SETS AND SYSTEMS, 1998; 96, 335 - 341
I. del Campo, J. Echanobe, J. M. Tarela Implementation of intelligent controllers on digital signal processors CYBERNETICS AND SYSTEMS, 1998; 29 no. 3, 283 - 301
J. Echanobe, J.R. G. de Mendivil, J.R. Garitagoitia A text recognition system based on a Neural Network and on a Deformed System. From Natural to Artificial Neural Computation, Lecture Notes in Computer Science. Mira, J, Sandoval, F Eds. Springer, 1995
I. del Campo, J.R. González de Mendívil, J.M. Tarela Development of a Fuzzy Logic Controller on a Digital Signal Processor MICROPROCESSING AND MICROPROGRAMMING, 1993; 39, 277 - 280
J.M. Tarela, E. Alonso, R. Lezcano, I. del Campo, J.R. Garitagoitia, and J.R. González de Mendívil Diseño Digital de una Neurona para Síntesis de Funciones no Lineales Homenaje a Vicente Aleixandre. Universidad de Valladolid, 1993; 84-7762-410-0