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ORCIDStratis Kanarachos
Person information
- affiliation: Coventry University, UK
- affiliation (2012 - 2014): Integrated Vehicle Safety Department of TNO, Helmond, The Netherlands
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2020 – today
- 2022
[j18]Felix Batsch
, Stratis Kanarachos, Madeline Cheah, Roberto Ponticelli, Mike Blundell:
A taxonomy of validation strategies to ensure the safe operation of highly automated vehicles. J. Intell. Transp. Syst. 26(1): 14-33 (2022)- [c21]Mohamed Sorour, Pål Johan From, Khaled Elgeneidy, Stratis Kanarachos, Mohamed Sallam:
Produce Harvesting by Laser Stem-Cutting. CASE 2022: 487-492 - [c20]Mohamed Sorour, Pål Johan From, Khaled Elgeneidy, Stratis Kanarachos, Mohamed Sallam:
Compact Strawberry Harvesting Tube Employing Laser Cutter. IROS 2022: 8956-8962 - [i5]Uche Onyekpe, Alicja Szkolnik, Vasile Palade, Stratis Kanarachos, Michael E. Fitzpatrick:
R-WhONet: Recalibrated Wheel Odometry Neural Network for Vehicular Positioning using Transfer Learning. CoRR abs/2209.05877 (2022) - 2021
- [j17]Uche Onyekpe, Vasile Palade, Anuradha Herath, Stratis Kanarachos, Michael E. Fitzpatrick:
WhONet: Wheel Odometry neural Network for vehicular localisation in GNSS-deprived environments. Eng. Appl. Artif. Intell. 105: 104421 (2021) - [j16]Uche Onyekpe, Vasile Palade, Stratis Kanarachos, Stavros-Richard G. Christopoulos:
A Quaternion Gated Recurrent Unit Neural Network for Sensor Fusion. Inf. 12(3): 117 (2021) - [c19]James Spooner, Vasile Palade, Alireza Daneshkhah, Stratis Kanarachos:
Using Generative Adversarial Networks and Non-Roadside Video Data to Generate Pedestrian Crossing Scenarios. ICMLA 2021: 1413-1420 - [i4]Uche Onyekpe, Vasile Palade, Anuradha Herath, Stratis Kanarachos, Michael E. Fitzpatrick, Stavros-Richard G. Christopoulos:
WhONet: Wheel Odometry Neural Network for Vehicular Localisation in GNSS-Deprived Environments. CoRR abs/2104.02581 (2021) - 2020
- [j15]Maninder Sehmi, Jesper Christensen, Christophe Bastien, Alexis Wilson, Stratis Kanarachos:
Automated post-processing for sheet metal component manufacturing. Adv. Eng. Softw. 143: 102794 (2020) - [j14]Maciej Cieslak, Stratis Kanarachos, Mike Blundell, Cyriel Diels, Mark Burnett, Anthony Baxendale:
Accurate ride comfort estimation combining accelerometer measurements, anthropometric data and neural networks. Neural Comput. Appl. 32(12): 8747-8762 (2020) - [c18]Uche Onyekpe, Vasile Palade, Stratis Kanarachos, Stavros-Richard G. Christopoulos:
Learning Uncertainties in Wheel Odometry for Vehicular Localisation in GNSS Deprived Environments. ICMLA 2020: 741-746 - [c17]James Spooner, Madeline Cheah, Vasile Palade, Stratis Kanarachos, Alireza Daneshkhah:
Classification of a Pedestrian's Behaviour Using Dual Deep Neural Networks. SAI (3) 2020: 581-597 - [i3]Uche Onyekpe, Vasile Palade, Stratis Kanarachos:
Learning to Localise Automated Vehicles in Challenging Environments using Inertial Navigation Systems (INS). CoRR abs/2010.02363 (2020)
2010 – 2019
- 2019
- [j13]Stratis Kanarachos, Jino Mathew, Michael E. Fitzpatrick:
Instantaneous vehicle fuel consumption estimation using smartphones and recurrent neural networks. Expert Syst. Appl. 120: 436-447 (2019) - [j12]Yannik Weber, Stratis Kanarachos:
The Correlation between Vehicle Vertical Dynamics and Deep Learning-Based Visual Target State Estimation: A Sensitivity Study. Sensors 19(22): 4870 (2019) - [j11]Stavros-Richard G. Christopoulos, Stratis Kanarachos, Alexander Chroneos:
Learning Driver Braking Behavior Using Smartphones, Neural Networks and the Sliding Correlation Coefficient: Road Anomaly Case Study. IEEE Trans. Intell. Transp. Syst. 20(1): 65-74 (2019) - [c16]Ioannis Kyriakopoulos, Pawel Jaworski, Stratis Kanarachos:
DigiCAV project: Exploring a Test-Driven Approach in the Development of Connected and Autonomous Vehicles. ICCVE 2019: 1-6 - [c15]M. Kalliris, Stratis Kanarachos, Rigas Kotsakis, Olivier C. L. Haas, Mike Blundell:
Machine Learning Algorithms for Wet Road Surface Detection Using Acoustic Measurements. ICM 2019: 265-270 - [c14]James Spooner, Madeline Cheah, Vasile Palade, Stratis Kanarachos, Alireza Daneshkhah:
Generation of Pedestrian Pose Structures using Generative Adversarial Networks. ICMLA 2019: 1644-1650 - [c13]Felix Batsch, Alireza Daneshkhah, Madeline Cheah, Stratis Kanarachos, Anthony Baxendale:
Performance Boundary Identification for the Evaluation of Automated Vehicles using Gaussian Process Classification. ITSC 2019: 419-424 - [c12]Sarfraz Ahmed, Md. Nazmul Huda, Sujan Rajbhandari, Chitta Saha, Mark Elshaw, Stratis Kanarachos:
Visual and Thermal Data for Pedestrian and Cyclist Detection. TAROS (2) 2019: 223-234 - [i2]Felix Batsch, Alireza Daneshkhah, Madeline Cheah, Stratis Kanarachos, Anthony Baxendale:
Performance Boundary Identification for the Evaluation of Automated Vehicles using Gaussian Process Classification. CoRR abs/1907.05364 (2019) - [i1]Uche Onyekpe, Stratis Kanarachos, Michael E. Fitzpatrick:
Spontaneous Fruit Fly Optimisation for truss weight minimisation: Performance evaluation based on the no free lunch theorem. CoRR abs/1909.11143 (2019) - 2018
- [j10]Stratis Kanarachos, Arash Moradinegade Dizqah, Georgios Chrysakis, Michael E. Fitzpatrick:
Optimal design of a quadratic parameter varying vehicle suspension system using contrast-based Fruit Fly Optimisation. Appl. Soft Comput. 62: 463-477 (2018) - [j9]Jino Mathew, James M. Griffin, Miltiadis Alamaniotis, Stratis Kanarachos, Michael E. Fitzpatrick:
Prediction of welding residual stresses using machine learning: Comparison between neural networks and neuro-fuzzy systems. Appl. Soft Comput. 70: 131-146 (2018) - [j8]Manuel Acosta, Stratis Kanarachos:
Teaching a vehicle to autonomously drift: A data-based approach using Neural Networks. Knowl. Based Syst. 153: 12-28 (2018) - [j7]Manuel Acosta, Stratis Kanarachos:
Tire lateral force estimation and grip potential identification using Neural Networks, Extended Kalman Filter, and Recursive Least Squares. Neural Comput. Appl. 30(11): 3445-3465 (2018) - [j6]Stratis Kanarachos, Dzmitry Savitski, Nikos D. Lagaros, Michael E. Fitzpatrick:
Automotive magnetorheological dampers: modelling and parameter identification using contrast-based fruit fly optimisation. Soft Comput. 22(24): 8131-8149 (2018) - [j5]Manuel Acosta, Stratis Kanarachos, Michael E. Fitzpatrick:
Robust Virtual Sensing for Vehicle Agile Manoeuvring: A Tyre-Model-Less Approach. IEEE Trans. Veh. Technol. 67(3): 1894-1908 (2018) - [c11]Manuel Acosta, Stratis Kanarachos, Michael E. Fitzpatrick:
On full MAGV lateral dynamics exploitation: Autonomous drift control. AMC 2018: 529-534 - [c10]Shriram C. Jugade, Alessandro Corrêa Victorino, Véronique Berge-Cherfaoui, Stratis Kanarachos:
Sensor based Prediction of Human Driving Decisions using Feed forward Neural Networks for Intelligent Vehicles. ITSC 2018: 691-696 - 2017
- [j4]Stratis Kanarachos, Stavros-Richard G. Christopoulos, Alexander Chroneos, Michael E. Fitzpatrick:
Detecting anomalies in time series data via a deep learning algorithm combining wavelets, neural networks and Hilbert transform. Expert Syst. Appl. 85: 292-304 (2017) - [c9]Vincenzo Ricciardi, Manuel Acosta, Klaus Augsburg, Stratis Kanarachos, Valentin G. Ivanov:
Robust brake linings friction coefficient estimation for enhancement of ehb control. ICAT 2017: 1-7 - [c8]Manuel Acosta, Stratis Kanarachos, Michael E. Fitzpatrick:
A Hybrid Hierarchical Rally Driver Model for Autonomous Vehicle Agile Maneuvering on Loose Surfaces. ICINCO (2) 2017: 216-225 - [c7]Manuel Acosta, Stratis Kanarachos, Michael E. Fitzpatrick:
A Virtual Sensor for Integral Tire Force Estimation using Tire Model-less Approaches and Adaptive Unscented Kalman Filter. ICINCO (1) 2017: 386-397 - [c6]Manuel Acosta, Stratis Kanarachos, Michael E. Fitzpatrick:
Vehicle Dynamics Virtual Sensing Using Unscented Kalman Filter: Simulations and Experiments in a Driver-in-the-Loop Setup. ICINCO (Selected Papers) 2017: 582-602 - [c5]Manuel Acosta, Stratis Kanarachos, Michael E. Fitzpatrick:
Accurate virtual sensing of vertical tire forces for enhanced handling dynamics. IECON 2017: 4009-4014 - [c4]Manuel Acosta, Stratis Kanarachos, Michael E. Fitzpatrick:
Optimized tire force estimation using extended Kalman filter and fruit fly optimization. IECON 2017: 4074-4079 - 2016
- [c3]Manuel Acosta, Stratis Kanarachos, Mike Blundell:
Vehicle agile maneuvering: From rally drivers to a finite state machine approach. SSCI 2016: 1-8 - 2015
- [j3]Stratis Kanarachos, Andreas Kanarachos:
Intelligent road adaptive suspension system design using an experts' based hybrid genetic algorithm. Expert Syst. Appl. 42(21): 8232-8242 (2015) - [c2]Stratis Kanarachos, Jino Mathew, Alexander Chroneos, Michael E. Fitzpatrick:
Anomaly detection in time series data using a combination of wavelets, neural networks and Hilbert transform. IISA 2015: 1-6 - 2014
- [j2]Stratis Kanarachos:
A new min-max methodology for computing optimised obstacle avoidance steering manoeuvres of ground vehicles. Int. J. Syst. Sci. 45(5): 1042-1057 (2014) - 2013
- [c1]M. Alirezaei, Stratis Kanarachos, Bart Scheepers, J. P. Maurice:
Experimental evaluation of optimal Vehicle Dynamic Control based on the State Dependent Riccati Equation technique. ACC 2013: 408-412
2000 – 2009
- 2002
- [j1]Konstantinos Spentzas, Stratis A. Kanarachos:
Design of a non-linear hybrid car suspension system using neural networks. Math. Comput. Simul. 60(3-5): 369-378 (2002)
Coauthor Index
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