Stratis Kanarachos

44 papers A 1C 6Journal 23Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	R-WhONet: recalibrated wheel odometry neural network for vehicular positioning using transfer learning. Neural Comput. Appl. Uche Onyekpe, Alicja Szkolnik, Vasile Palade, Stratis Kanarachos, Michael E. Fitzpatrick
2022	J	`jnl`	A taxonomy of validation strategies to ensure the safe operation of highly automated vehicles. J. Intell. Transp. Syst. Felix Batsch, Stratis Kanarachos, Madeline Cheah, Roberto Ponticelli, Mike Blundell
2022	A	`conf`	Compact Strawberry Harvesting Tube Employing Laser Cutter. IROS Mohamed Sorour, Pål Johan From, Khaled Elgeneidy, Stratis Kanarachos, Mohamed Sallam
2022	—	`conf`	Produce Harvesting by Laser Stem-Cutting. CASE Mohamed Sorour, Pål Johan From, Khaled Elgeneidy, Stratis Kanarachos, Mohamed Sallam
2022	J	`jnl`	R-WhONet: Recalibrated Wheel Odometry Neural Network for Vehicular Positioning using Transfer Learning. CoRR Uche Onyekpe, Alicja Szkolnik, Vasile Palade, Stratis Kanarachos, Michael E. Fitzpatrick
2021	J	`jnl`	A Quaternion Gated Recurrent Unit Neural Network for Sensor Fusion. Inf. Uche Onyekpe, Vasile Palade, Stratis Kanarachos, Stavros-Richard G. Christopoulos
2021	C	`conf`	Using Generative Adversarial Networks and Non-Roadside Video Data to Generate Pedestrian Crossing Scenarios. ICMLA James Spooner, Vasile Palade, Alireza Daneshkhah, Stratis Kanarachos
2021	J	`jnl`	WhONet: Wheel Odometry Neural Network for Vehicular Localisation in GNSS-Deprived Environments. CoRR Uche Onyekpe, Vasile Palade, Anuradha Herath, Stratis Kanarachos, Michael E. Fitzpatrick, Stavros-Richard G. Christopoulos
2021	J	`jnl`	WhONet: Wheel Odometry neural Network for vehicular localisation in GNSS-deprived environments. Eng. Appl. Artif. Intell. Uche Onyekpe, Vasile Palade, Anuradha Herath, Stratis Kanarachos, Michael E. Fitzpatrick
2020	J	`jnl`	Accurate ride comfort estimation combining accelerometer measurements, anthropometric data and neural networks. Neural Comput. Appl. Maciej Cieslak, Stratis Kanarachos, Mike Blundell, Cyriel Diels, Mark Burnett, Anthony Baxendale
2020	J	`jnl`	Automated post-processing for sheet metal component manufacturing. Adv. Eng. Softw. Maninder Sehmi, Jesper Christensen, Christophe Bastien, Alexis Wilson, Stratis Kanarachos
2020	—	`conf`	Classification of a Pedestrian's Behaviour Using Dual Deep Neural Networks. SAI (3) James Spooner, Madeline Cheah, Vasile Palade, Stratis Kanarachos, Alireza Daneshkhah
2020	C	`conf`	Learning Uncertainties in Wheel Odometry for Vehicular Localisation in GNSS Deprived Environments. ICMLA Uche Onyekpe, Vasile Palade, Stratis Kanarachos, Stavros-Richard G. Christopoulos
2020	J	`jnl`	Learning to Localise Automated Vehicles in Challenging Environments using Inertial Navigation Systems (INS). CoRR Uche Onyekpe, Vasile Palade, Stratis Kanarachos
2019	—	`conf`	DigiCAV project: Exploring a Test-Driven Approach in the Development of Connected and Autonomous Vehicles. ICCVE Ioannis Kyriakopoulos, Pawel Jaworski, Stratis Kanarachos
2019	C	`conf`	Generation of Pedestrian Pose Structures using Generative Adversarial Networks. ICMLA James Spooner, Madeline Cheah, Vasile Palade, Stratis Kanarachos, Alireza Daneshkhah
2019	J	`jnl`	Instantaneous vehicle fuel consumption estimation using smartphones and recurrent neural networks. Expert Syst. Appl. Stratis Kanarachos, Jino Mathew, Michael E. Fitzpatrick
2019	J	`jnl`	Learning Driver Braking Behavior Using Smartphones, Neural Networks and the Sliding Correlation Coefficient: Road Anomaly Case Study. IEEE Trans. Intell. Transp. Syst. Stavros-Richard G. Christopoulos, Stratis Kanarachos, Alexander Chroneos
2019	—	`conf`	Machine Learning Algorithms for Wet Road Surface Detection Using Acoustic Measurements. ICM M. Kalliris, Stratis Kanarachos, Rigas Kotsakis, Olivier C. L. Haas, Mike Blundell
2019	—	`conf`	Performance Boundary Identification for the Evaluation of Automated Vehicles using Gaussian Process Classification. ITSC Felix Batsch, Alireza Daneshkhah, Madeline Cheah, Stratis Kanarachos, Anthony Baxendale
2019	J	`jnl`	Performance Boundary Identification for the Evaluation of Automated Vehicles using Gaussian Process Classification. CoRR Felix Batsch, Alireza Daneshkhah, Madeline Cheah, Stratis Kanarachos, Anthony Baxendale
2019	J	`jnl`	Spontaneous Fruit Fly Optimisation for truss weight minimisation: Performance evaluation based on the no free lunch theorem. CoRR Uche Onyekpe, Stratis Kanarachos, Michael E. Fitzpatrick
2019	J	`jnl`	The Correlation between Vehicle Vertical Dynamics and Deep Learning-Based Visual Target State Estimation: A Sensitivity Study. Sensors Yannik Weber, Stratis Kanarachos
2019	—	`conf`	Visual and Thermal Data for Pedestrian and Cyclist Detection. TAROS (2) Sarfraz Ahmed, Md. Nazmul Huda, Sujan Rajbhandari, Chitta Saha, Mark Elshaw, Stratis Kanarachos
2018	J	`jnl`	Automotive magnetorheological dampers: modelling and parameter identification using contrast-based fruit fly optimisation. Soft Comput. Stratis Kanarachos, Dzmitry Savitski, Nikos D. Lagaros, Michael E. Fitzpatrick
2018	—	`conf`	On full MAGV lateral dynamics exploitation: Autonomous drift control. AMC Manuel Acosta, Stratis Kanarachos, Michael E. Fitzpatrick
2018	J	`jnl`	Optimal design of a quadratic parameter varying vehicle suspension system using contrast-based Fruit Fly Optimisation. Appl. Soft Comput. Stratis Kanarachos, Arash Moradinegade Dizqah, Georgios Chrysakis, Michael E. Fitzpatrick
2018	J	`jnl`	Prediction of welding residual stresses using machine learning: Comparison between neural networks and neuro-fuzzy systems. Appl. Soft Comput. Jino Mathew, James M. Griffin, Miltiadis Alamaniotis, Stratis Kanarachos, Michael E. Fitzpatrick
2018	J	`jnl`	Robust Virtual Sensing for Vehicle Agile Manoeuvring: A Tyre-Model-Less Approach. IEEE Trans. Veh. Technol. Manuel Acosta, Stratis Kanarachos, Michael E. Fitzpatrick
2018	—	`conf`	Sensor based Prediction of Human Driving Decisions using Feed forward Neural Networks for Intelligent Vehicles. ITSC Shriram C. Jugade, Alessandro Corrêa Victorino, Véronique Berge-Cherfaoui, Stratis Kanarachos
2018	J	`jnl`	Teaching a vehicle to autonomously drift: A data-based approach using Neural Networks. Knowl. Based Syst. Manuel Acosta, Stratis Kanarachos
2018	J	`jnl`	Tire lateral force estimation and grip potential identification using Neural Networks, Extended Kalman Filter, and Recursive Least Squares. Neural Comput. Appl. Manuel Acosta, Stratis Kanarachos
2017	—	`conf`	A Hybrid Hierarchical Rally Driver Model for Autonomous Vehicle Agile Maneuvering on Loose Surfaces. ICINCO (2) Manuel Acosta, Stratis Kanarachos, Michael E. Fitzpatrick
2017	—	`conf`	A Virtual Sensor for Integral Tire Force Estimation using Tire Model-less Approaches and Adaptive Unscented Kalman Filter. ICINCO (1) Manuel Acosta, Stratis Kanarachos, Michael E. Fitzpatrick
2017	C	`conf`	Accurate virtual sensing of vertical tire forces for enhanced handling dynamics. IECON Manuel Acosta, Stratis Kanarachos, Michael E. Fitzpatrick
2017	J	`jnl`	Detecting anomalies in time series data via a deep learning algorithm combining wavelets, neural networks and Hilbert transform. Expert Syst. Appl. Stratis Kanarachos, Stavros-Richard G. Christopoulos, Alexander Chroneos, Michael E. Fitzpatrick
2017	C	`conf`	Optimized tire force estimation using extended Kalman filter and fruit fly optimization. IECON Manuel Acosta, Stratis Kanarachos, Michael E. Fitzpatrick
2017	—	`conf`	Robust brake linings friction coefficient estimation for enhancement of ehb control. ICAT Vincenzo Ricciardi, Manuel Acosta, Klaus Augsburg, Stratis Kanarachos, Valentin G. Ivanov
2017	—	`conf`	Vehicle Dynamics Virtual Sensing Using Unscented Kalman Filter: Simulations and Experiments in a Driver-in-the-Loop Setup. ICINCO (Selected Papers) Manuel Acosta, Stratis Kanarachos, Michael E. Fitzpatrick
2016	—	`conf`	Vehicle agile maneuvering: From rally drivers to a finite state machine approach. SSCI Manuel Acosta, Stratis Kanarachos, Mike Blundell
2015	—	`conf`	Anomaly detection in time series data using a combination of wavelets, neural networks and Hilbert transform. IISA Stratis Kanarachos, Jino Mathew, Alexander Chroneos, Michael E. Fitzpatrick
2015	J	`jnl`	Intelligent road adaptive suspension system design using an experts' based hybrid genetic algorithm. Expert Syst. Appl. Stratis Kanarachos, Andreas Kanarachos
2014	J	`jnl`	A new min-max methodology for computing optimised obstacle avoidance steering manoeuvres of ground vehicles. Int. J. Syst. Sci. Stratis Kanarachos
2013	C	`conf`	Experimental evaluation of optimal Vehicle Dynamic Control based on the State Dependent Riccati Equation technique. ACC M. Alirezaei, Stratis Kanarachos, Bart Scheepers, J. P. Maurice