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• 2018

  Optimized Vehicle Dynamics Virtual Sensing using Metaheuristic Optimization and Unscented Kalman Filter

  Acosta, M. & Kanarachos, S., 1 Sep 2018.

  Research output: Contribution to conference › Paper › peer-review
• 2017

  RLS with Optimum Multiple Adaptive Forgetting Factors for SoC and SoH Estimation of Li-Ion Battery

  Rijanto, E., Rozaqi, L., Nugroho, A. & Kanarachos, S., 16 Oct 2017, Proceedings of the 2017 5th International Conference on Instrumentation, Control, and Automation, ICA 2017. Institute of Electrical and Electronics Engineers Inc., p. 73-77 5 p. 8068416

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

  Open Access

  File

  • System-on-chip
  • systems-on-a-chip
  • Battery
  • Lithium-ion batteries
  • electric batteries
  4 Citations (Scopus)

  92 Downloads (Pure)
• 2020

  CUPAC – The Coventry University public road dataset for automated cars

  Weber, Y. & Kanarachos, S., Feb 2020, In: Data in Brief. 28, 6 p., 104950.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Smartphones
  • Sensors
  • Infrared radiation
  • Global positioning system
  • Cameras
  3 Downloads (Pure)
• 2017

  Estimation of tire forces, road grade, and road bank angle using tire model-less approaches and Fuzzy Logic

  Acosta, M., Alatorre, A., Kanarachos, S., Victorino, A. & Charara, A., 1 Jul 2017, p. 14836-14842. 7 p.

  Research output: Contribution to conference › Paper › peer-review

  • Tires
  • Fuzzy logic
  • Extended Kalman filters
  • Fusion reactions
  • Kinematics
  8 Citations (Scopus)
• 2018

  Optimized vehicle dynamics virtual sensing using metaheuristic optimization and unscented Kalman filter

  Acosta, M. & Kanarachos, S., 7 Sep 2018, Computational Methods in Applied Sciences. Andrés-Pérez, E., González, L. M., Periaux, J., Gauger, N., Quagliarella, D. & Giannakoglou, K. (eds.). 1 ed. Springer, p. 275-290 16 p. (Computational Methods in Applied Sciences; vol. 49).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  • Vehicle Dynamics
  • Sensing
  • Metaheuristics
  • Kalman Filter
  • Kalman filters
• 2020

  Corner Test Cases for ADAS and HAVs: A Computational Study on the Influence of Road Irregularities on Vehicle Vision Systems

  Weber, Y. & Kanarachos, S., 13 Feb 2020, Advances in Dynamics of Vehicles on Roads and Tracks - Proceedings of the 26th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2019. Klomp, M., Bruzelius, F., Nielsen, J. & Hillemyr, A. (eds.). 1 ed. Springer, p. 1008-1016 9 p. (Lecture Notes in Mechanical Engineering).

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

  • Artificial intelligence
  • Sensitivity analysis
  • Experiments

• Vehicular localisation at high and low estimation rates during gnss outages: A deep learning approach

  Onyekpe, U., Kanarachos, S., Palade, V. & Christopoulos, S. R. G., 25 Sep 2020, Advances in Intelligent Systems and Computing. Springer Science and Business Media Deutschland GmbH, p. 229-248 20 p. (Advances in Intelligent Systems and Computing; vol. 1232).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  • Deep learning
  • Outages
  • Satellites
  • Navigation
  • Kalman filters
  1 Citation (Scopus)
• 2019

  Spontaneous Fruit Fly Optimisation for truss weight minimisation: Performance evaluation based on the no free lunch theorem

  Onyekpe, U., Kanarachos, S. & Fitzpatrick, M. E., 24 Sep 2019.

  Research output: Contribution to conference › Paper › peer-review

  File

  • Fruits
  • Tuning
• 2017

  Optimized Tire Force Estimation using Extended Kalman Filter and Fruit Fly Optimization

  Kanarachos, S., Acosta, M. & Fitzpatrick, M., 18 Dec 2017, 43rd Annual Conference of the IEEE Industrial Electronics Society. IEEE, p. 4074-4079 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

  Open Access

  File

  • Fruits
  • Extended Kalman filters
  • Tires
  • Swarm intelligence
  • Axles
  2 Citations (Scopus)

  122 Downloads (Pure)
• 2018

  On full MAGV lateral dynamics exploitation: Autonomous Drift Control

  Acosta, M., Kanarachos, S. & Fitzpatrick, M., 1 Mar 2018, 15th International Workshop on Advanced Motion Control (IEEE AMC2018), Tokyo . IEEE

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

  • Ground vehicles
  • Electric motors
  • Wheels
  • Torque
  • Control systems
  1 Citation (Scopus)
• 2017

  A Hybrid Hierarchical Rally Driver Model for Autonomous Vehicle Agile

  Kanarachos, S., Acosta, M. & Fitzpatrick, M., 26 Jul 2017. 10 p.

  Research output: Contribution to conference › Paper › peer-review

  • Autonomous vehicles
  • System stability
  • Collision avoidance
  • Hybrid systems
  • Motion planning
• 2020

  A Visual Contrast–Based Fruit Fly Algorithm for Optimizing Conventional and Nonconventional Machining Processes

  Fountas, N. A., Kanarachos, S. & Stergiou, C. I., 9 Aug 2020, In: International Journal of Advanced Manufacturing Technology. 109, 9-12, p. 2901-2914 14 p.

  Research output: Contribution to journal › Article › peer-review

  • Fruits
  • Machining
  • Focused ion beams
  • Milling (machining)
  • Swarm intelligence
• 2018

  Automotive Magneto-Rheological Dampers: Modelling and Parameter Identification using contrast-based Fruit Fly Optimisation

  Kanarachos, S., Savitski, D., Lagaros, N. & Fitzpatrick, M. E., Dec 2018, In: Soft Computing. 22, 24, p. 8131–8149 19 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Magnetorheological Damper
  • Fruit
  • Parameter Identification
  • Fruits
  • Damper
  4 Citations (Scopus)

  98 Downloads (Pure)
• 2017

  Road Friction Virtual Sensing: A Review of Estimation Techniques with Emphasis on Low Excitation Approaches

  Acosta, M., Kanarachos, S. & Blundell, M., 28 Nov 2017, In: Applied Sciences (Switzerland). 7, 12, 47 p., 1230.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • tires
  • roads
  • Tires
  • friction
  • Friction
  25 Citations (Scopus)

  34 Downloads (Pure)
• 2018

  Review of Topology Optimisation Refinement Processes for Sheet Metal Manufacturing in the Automotive Industry

  Sehmi, M. S., Christensen, J., Bastien, C. & Kanarachos, S., Jul 2018, In: Structural and Multidisciplinary Optimization. 58, 1, p. 305–330 26 p.

  Research output: Contribution to journal › Review article › peer-review

  Open Access

  File

  • Sheet Metal
  • Topology Optimization
  • Manufacturing
  • Shape optimization
  • Sheet metal
  4 Citations (Scopus)

  206 Downloads (Pure)
• 2019

  Learning Driver Braking Behavior using Smartphones, Neural Networks and the Sliding Correlation Coefficient: Road Anomaly Case Study

  Christopoulos, S., Kanarachos, S. & Chroneos, A., Jan 2019, In: IEEE Transactions on Intelligent Transportation Systems. 20, 1, p. 65-74 10 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Braking
  • Smartphones
  • Neural networks
  • Deep neural networks
  • Advanced driver assistance systems
  12 Citations (Scopus)

  199 Downloads (Pure)
• 2017

  Detecting anomalies in time series data via a deep learning algorithm combining wavelets, neural networks and Hilbert transform

  Kanarachos, S., Christopoulos, S., Chroneos, A. & Fitzpatrick, M., Nov 2017, In: Expert Systems with Applications. 85, p. 292-304

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Deep learning
  • Time series
  • Learning algorithms
  • Neural networks
  • Anomaly detection
  52 Citations (Scopus)

  545 Downloads (Pure)
• 2018

  Smartphones as an integrated platform for monitoring driver behaviour: The role of sensor fusion and connectivity

  Kanarachos, S., Christopoulos, S. & Chroneos, A., Oct 2018, In: Transportation Research Part C: Emerging Technologies. 95, p. 867-882 16 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • transportation system
  • Smartphones
  • driver
  • Fusion reactions
  • monitoring
  35 Citations (Scopus)

  144 Downloads (Pure)
• 2019

  Performance Boundary Identification for the Evaluation of Automated Vehicles using Gaussian Process Classification

  Batsch, F., Daneshkhah, A., Cheah, M., Kanarachos, S. & Baxendale, A., 2019, 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019. IEEE, p. 419-424 6 p. 8917119

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

  Open Access

  File

  • Automated Vehicle
  • Gaussian Process
  • vehicles
  • Testing
  • scenario
  2 Citations (Scopus)

  22 Downloads (Pure)
• 2020

  A Non-Convex Control Allocation Strategy as Energy-Efficient Torque Distributors for On-Road and Off-Road Vehicles

  Dizqah, A. M., Ballard, B., Blundell, M., Kanarachos, S. & Innocente, M., Feb 2020, In: Control Engineering Practice. 95, 10 p., 104256.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Energy Efficient
  • Off road vehicles
  • Torque
  • Strategy
  • Energy Efficiency
  1 Citation (Scopus)

  3 Downloads (Pure)
• 2017

  Fast Energy-Efficient Torque Distribution Amongst Multiple Drivetrains

  Dizqah, A. M., Blundell, M., Vantsevich, V., Kanarachos, S. & Ballard, B., 25 Sep 2017, Proceedings of the 19th International & 14th European-African Regional Conference of the ISTVS. Budapest, Hungary: International Society for Terrain-Vehicle Systems, p. (in press) 9 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

  • Torque
  • Hybrid vehicles
  • Electric machinery
  • Table lookup
  • Energy management
• 2020

  Generation of pedestrian pose structures using generative adversarial networks

  Spooner, J., Cheah, M., Palade, V., Kanarachos, S. & Daneshkhah, A., 17 Feb 2020, Proceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019. Wani, M. A., Khoshgoftaar, T. M., Wang, D., Wang, H. & Seliya, N. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1644-1650 7 p. 8999199. (Proceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019).

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

  • Pedestrian
  • Autonomous vehicles
  • Network architecture
  • Classifiers
  • Testing
  1 Citation (Scopus)
• 2018

  Tire lateral force estimation and grip potential identification using Neural Networks, Extended Kalman Filter, and Recursive Least Squares

  Acosta, M. & Kanarachos, S., Dec 2018, In: Neural Computing and Applications. 30, 11, p. 3445–3465 21 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Extended Kalman filters
  • Tires
  • Neural networks
  • Feedforward neural networks
  • Friction
  13 Citations (Scopus)

  581 Downloads (Pure)

• Prediction of welding residual stresses using machine learning: Comparison between neural networks and neuro-fuzzy systems

  Mathew, J., Griffin, J., Alamaniotis, M., Kanarachos, S. & Fitzpatrick, M., Sep 2018, In: Applied Soft Computing. 70, p. 131-146 15 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Fuzzy systems
  • Residual stresses
  • Welding
  • Machine learning
  • Neural networks
  23 Citations (Scopus)

  145 Downloads (Pure)
• 2017

  Comparison between RLS-GA and RLS-PSO For Li-ion battery SOC and SOH estimation: a simulation study

  Rozaqi, L., Rijanto, E. & Kanarachos, S., Aug 2017, In: Journal of Mechatronics, Electrical Power, and Vehicular Technology. 8, 1, p. 40-49 10 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Lithium-ion batteries
  • Particle swarm optimization (PSO)
  • Genetic algorithms
  • Open circuit voltage
  • Mean square error
  238 Downloads (Pure)

• Implementation assessment of a Wave Energy Converter, based on fully enclosed multi-axis inertial reaction mechanisms

  Antoniadis, I. A., Georgoutsos, V., Paradeisiotis, A., Kanarachos, S. A. & Gryllias, K., Dec 2017, In: Discontinuity, Nonlinearity, and Complexity. 6, 4, p. 445-463 19 p.

  Research output: Contribution to journal › Article › peer-review

  • Reaction Mechanism
  • direct power generators
  • Converter
  • Vessel
  • Pendulum

• A hybrid hierarchical rally driver model for autonomous vehicle agile maneuvering on loose surfaces

  Acosta, M., Kanarachos, S. & Fitzpatrick, M. E., 2017, ICINCO 2017 - Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics. SciTePress, Vol. 2. p. 216-225 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

  • Autonomous vehicles
  • System stability
  • Collision avoidance
  • Hybrid systems
  • Motion planning
  9 Citations (Scopus)
• 2018

  Sensor based Prediction of Human Driving Decisions using Feed forward Neural Networks for Intelligent Vehicles

  Jugade, S. C., Victorino, A. C., Cherfaoui, V. B. & Kanarachos, S., 10 Dec 2018, 2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018. Institute of Electrical and Electronics Engineers Inc., p. 691-696 6 p. 8569441. (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; vol. 2018-November).

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

  • Intelligent vehicle highway systems
  • Feedforward neural networks
  • Sensors
  • Advanced driver assistance systems
  • Neural networks
  2 Citations (Scopus)

• Teaching a Vehicle to Autonomously Drift: A Data-based Approach Using Neural Networks

  Acosta, M. & Kanarachos, S., 1 Aug 2018, In: Knowledge-Based Systems. 153, p. 12-28 17 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Ground vehicles
  • Electric motors
  • Neural Networks
  • Teaching
  • Wheels
  10 Citations (Scopus)

  116 Downloads (Pure)
• 2019

  The correlation between vehicle vertical dynamics and deep learning-based visual target state estimation: A sensitivity study

  Weber, Y. & Kanarachos, S., 8 Nov 2019, In: Sensors (Switzerland). 19, 22, 28 p., 4870.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Deep Learning
  • state estimation
  • learning
  • Deep learning
  • State estimation
  3 Citations (Scopus)

  1 Downloads (Pure)
• 2020

  DigiCAV project: Exploring a test-driven approach in the development of connected and autonomous vehicles

  Kyriakopoulos, I., Jaworski, P. & Kanarachos, S., 23 Jan 2020, 2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE). Institute of Electrical and Electronics Engineers Inc., 6 p. 8965026

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

  Open Access

  File

  • Autonomous Vehicles
  • Autonomous vehicles
  • Simulation Platform
  • simulation
  • Testing
  2 Citations (Scopus)

  11 Downloads (Pure)
• 2018

  Robust Virtual Sensing for Vehicle Agile Manoeuvring: A Tyre-model-less Approach

  Acosta, M., Kanarachos, S. & Fitzpatrick, M., Mar 2018, In: IEEE Transactions on Vehicular Technology. 67, 3, p. 1894-1908

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Tire
  • Sensing
  • Tires
  • Sensor
  • Driver
  10 Citations (Scopus)

  195 Downloads (Pure)
• 2017

  A Virtual Sensor for Integral Tire Force Estimation using Tire Model-Less Approaches and Adaptive Unscented Kalman Filter

  Acosta, M., Kanarachos, S. & Fitzpatrick, M. E., 26 Jul 2017, ICINCO 2017 - Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics. SciTePress, Vol. 1. p. 386-397 12 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

  • Tires
  • Kalman filters
  • Axles
  • Sensors
  • State estimation
  13 Citations (Scopus)

• Efficient truss optimization using the contrast-based fruit fly optimization algorithm

  Kanarachos, S., Griffin, J. & Fitzpatrick, M. E., Apr 2017, In: Computers & Structures. 182, April, p. 137-148 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Fruit
  • Fruits
  • Optimization Algorithm
  • Optimization
  • Optimization Problem
  48 Citations (Scopus)

  117 Downloads (Pure)

• Implementing a finite state machine to achieve vehicle agile maneuvering

  Kanarachos, S. & Acosta, M., 13 Feb 2017, 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

  Open Access

  File

  • Finite automata
  • Maneuverability
  • Method of moments
  • Tires
  • Wheels
  149 Downloads (Pure)
• 2018

  Speed-dependent wet road surface detection using acoustic measurements, octave-band frequency analysis and Support Vector Machines

  Kanarachos, S., Kalliris, M., Blundell, M. & Kotsakis, R., 1 Jan 2018, Proceedings of ISMA 2018 - International Conference on Noise and Vibration Engineering and USD 2018 - International Conference on Uncertainty in Structural Dynamics. Moens, D., Desmet, W., Pluymers, B. & Rottiers, W. (eds.). KU Leuven, Departement Werktuigkunde, p. 795-807 13 p. (Proceedings of ISMA 2018 - International Conference on Noise and Vibration Engineering and USD 2018 - International Conference on Uncertainty in Structural Dynamics).

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

  • acoustic measurement
  • octaves
  • roads
  • Frequency bands
  • Acoustics
• 2017

  Virtual Tyre Force Sensors: An Overview of Tyre Model-based and Tyre Model-less State Estimation Techniques

  Acosta, M., Kanarachos, S. & Blundell, M., 2017, In: Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering. (in press), p. (in press)

  Research output: Contribution to journal › Article › peer-review

  • State estimation
  • Tires
  • Sensors
  • Force measurement
  • Chassis
  14 Citations (Scopus)
• 2019

  Instantaneous vehicle fuel consumption estimation using smartphones and Recurrent Neural Networks

  Kanarachos, S., Mathew, J. & Fitzpatrick, M., 15 Apr 2019, In: Expert Systems with Applications. 120, p. 436-447 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Recurrent neural networks
  • Smartphones
  • Fuel consumption
  • Monitoring
  • Air pollution
  11 Citations (Scopus)

  88 Downloads (Pure)
• 2018

  iVMS corridors modelling and calibration in Aimsun

  Perraki, G., Haas, O., Christopoulos, S. & Kanarachos, S., 24 Jan 2018.

  Research output: Contribution to conference › Poster

• Driver behaviour modelling using smartphone cameras

  Kanarachos, S., Haas, O. & Diels, C., Jan 2018.

  Research output: Contribution to conference › Poster
• 2020

  Classification of a Pedestrian’s Behaviour Using Dual Deep Neural Networks

  Spooner, J., Cheah, M., Palade, V., Kanarachos, S. & Daneshkhah, A., 4 Jul 2020, Intelligent Computing - Proceedings of the 2020 Computing Conference. Arai, K., Kapoor, S. & Bhatia, R. (eds.). 1 ed. Springer, p. 581-597 17 p. (Advances in Intelligent Systems and Computing; vol. 1230 AISC).

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

  • Deep neural networks
  • Crosswalks
  • Data fusion
  • Network architecture
• 2019

  Motion Sickness Prediction Device for Automated Vehicles

  Salter, S., Thake, D., Kanarachos, S. & Diels, C., 21 May 2019, In: International Journal of Mechanical and Production Engineering . 7, 2, p. 68-74 16 p., IA-ICMAELNDN-07118-10117.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • tilt
  • vehicle
  • prediction
  124 Downloads (Pure)

• Visual and Thermal Data for Pedestrian and Cyclist Detection

  Ahmed, S., Huda, M. N., Rajbhandari, S., Saha, C., Elshaw, M. & Kanarachos, S., 2019, Towards Autonomous Robotic Systems - 20th Annual Conference, TAROS 2019, Proceedings: 20th Annual Conference, TAROS 2019, London, UK, July 3–5, 2019, Proceedings, Part II. Althoefer, K., Konstantinova, J. & Zhang, K. (eds.). Springer, p. 223-234 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11650 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

  Open Access

  File

  • Vision
  • Sensor Fusion
  • Sensor
  • Deep neural networks
  • Fusion reactions
  25 Downloads (Pure)

• Pedestrian and Cyclist Detection and Intent Estimation for Autonomous Vehicles: A Survey

  Ahmed, S., Huda, M. N., Rajbhandari, S., Saha, C., Elshaw, M. & Kanarachos, S., 6 Jun 2019, In: Applied Sciences (Switzerland). 9, 11, 2335.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Autonomous vehicles
  • roads
  • Deep learning
  • vehicles
  • learning
  10 Citations (Scopus)

  45 Downloads (Pure)
• 2017

  Vehicle agile maneuvering: From rally drivers to a finite state machine approach

  Acosta, M., Kanarachos, S. & Blundell, M., 9 Feb 2017, 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016. Institute of Electrical and Electronics Engineers Inc., 7850095

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

  Open Access

  File

  • Tire
  • Driver
  • State Machine
  • Finite automata
  • Agility
  11 Citations (Scopus)

  448 Downloads (Pure)
• 2019

  Motion sickness in automated vehicles with forward and rearward facing seating orientations

  Salter, S., Diels, C., Herriotts, P., Kanarachos, S. & Thake, D., Jul 2019, In: Applied Ergonomics. 78, p. 54-61 8 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Motion Sickness
  • illness
  • Cross-Over Studies
  • Equipment and Supplies
  • Seats
  18 Citations (Scopus)

  59 Downloads (Pure)
• 2018

  Optimized Vehicle Dynamics Virtual Sensing using Metaheuristic Optimization and Unscented Kalman Filter

  Acosta, M. & Kanarachos, S., Sep 2018, Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems. Springer Verlag, p. 275-290 (Computational Methods in Applied Sciences; vol. 49).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  • Kalman filters
  • Tuning
  • Fruits
  • Sensors
  • Error analysis
• 2020

  IO-VNBD: Inertial and Odometry Benchmark Dataset for Ground Vehicle Positioning

  Onyekpe, U., Palade, V., Kanarachos, S. & Szkolnik, A., 4 May 2020, In: ArxiV.

  Research output: Contribution to journal › Article

  • Ground vehicles
  • Navigation
  • Sensors
  • Deep learning
  • Global positioning system
• 2017

  Robust Brake Linings Friction Coefficient Estimation For Enhancement of EHB Control

  Ricciardi, V., Acosta, M., Ausburg, K., Kanarachos, S. & Ivanov, V., 1 Sep 2017, 26th International Conference on Information, Communication and Automation Technologies, Sarajevo.

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

  3 Citations (Scopus)
• 2019

  Vehicle Dynamics Virtual Sensing Using Unscented Kalman Filter: Simulations and Experiments in a Driver-in-the-loop setup

  Acosta, M., Kanarachos, S. & Fitzpatrick, M., 18 Apr 2019, Informatics in Control, Automation and Robotics: 14th International Conference, ICINCO 2017 Madrid, Spain, July 26-28, 2017 Revised Selected Papers. Springer Verlag, p. 582-602 21 p. (Lecture Notes in Electrical Engineering; vol. 495).

  Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

  • Kalman filters
  • Tires
  • Active safety systems
  • Experiments
  • Chassis