Stratis Kanarachos
Orcid: 0000-0002-0096-4016Affiliations:
- Coventry University, UK
- Integrated Vehicle Safety Department of TNO, Helmond, The Netherlands (2012 - 2014)
According to our database1,
Stratis Kanarachos
authored at least 43 papers
between 2002 and 2022.
Collaborative distances:
Collaborative distances:
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Online presence:
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On csauthors.net:
Bibliography
2022
A taxonomy of validation strategies to ensure the safe operation of highly automated vehicles.
J. Intell. Transp. Syst., 2022
R-WhONet: Recalibrated Wheel Odometry Neural Network for Vehicular Positioning using Transfer Learning.
CoRR, 2022
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022
2021
WhONet: Wheel Odometry neural Network for vehicular localisation in GNSS-deprived environments.
Eng. Appl. Artif. Intell., 2021
WhONet: Wheel Odometry Neural Network for Vehicular Localisation in GNSS-Deprived Environments.
CoRR, 2021
Using Generative Adversarial Networks and Non-Roadside Video Data to Generate Pedestrian Crossing Scenarios.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
2020
Accurate ride comfort estimation combining accelerometer measurements, anthropometric data and neural networks.
Neural Comput. Appl., 2020
Learning to Localise Automated Vehicles in Challenging Environments using Inertial Navigation Systems (INS).
CoRR, 2020
Adv. Eng. Softw., 2020
Proceedings of the Intelligent Computing, 2020
Learning Uncertainties in Wheel Odometry for Vehicular Localisation in GNSS Deprived Environments.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
2019
Learning Driver Braking Behavior Using Smartphones, Neural Networks and the Sliding Correlation Coefficient: Road Anomaly Case Study.
IEEE Trans. Intell. Transp. Syst., 2019
The Correlation between Vehicle Vertical Dynamics and Deep Learning-Based Visual Target State Estimation: A Sensitivity Study.
Sensors, 2019
Instantaneous vehicle fuel consumption estimation using smartphones and recurrent neural networks.
Expert Syst. Appl., 2019
Spontaneous Fruit Fly Optimisation for truss weight minimisation: Performance evaluation based on the no free lunch theorem.
CoRR, 2019
Proceedings of the Towards Autonomous Robotic Systems - 20th Annual Conference, 2019
Performance Boundary Identification for the Evaluation of Automated Vehicles using Gaussian Process Classification.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Machine Learning Algorithms for Wet Road Surface Detection Using Acoustic Measurements.
Proceedings of the IEEE International Conference on Mechatronics, 2019
DigiCAV project: Exploring a Test-Driven Approach in the Development of Connected and Autonomous Vehicles.
Proceedings of the 2019 IEEE International Conference on Connected Vehicles and Expo, 2019
2018
IEEE Trans. Veh. Technol., 2018
Automotive magnetorheological dampers: modelling and parameter identification using contrast-based fruit fly optimisation.
Soft Comput., 2018
Tire lateral force estimation and grip potential identification using Neural Networks, Extended Kalman Filter, and Recursive Least Squares.
Neural Comput. Appl., 2018
Teaching a vehicle to autonomously drift: A data-based approach using Neural Networks.
Knowl. Based Syst., 2018
Prediction of welding residual stresses using machine learning: Comparison between neural networks and neuro-fuzzy systems.
Appl. Soft Comput., 2018
Optimal design of a quadratic parameter varying vehicle suspension system using contrast-based Fruit Fly Optimisation.
Appl. Soft Comput., 2018
Sensor based Prediction of Human Driving Decisions using Feed forward Neural Networks for Intelligent Vehicles.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
Proceedings of the IEEE 15th International Workshop on Advanced Motion Control, 2018
2017
Detecting anomalies in time series data via a deep learning algorithm combining wavelets, neural networks and Hilbert transform.
Expert Syst. Appl., 2017
Optimized tire force estimation using extended Kalman filter and fruit fly optimization.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017
Vehicle Dynamics Virtual Sensing Using Unscented Kalman Filter: Simulations and Experiments in a Driver-in-the-Loop Setup.
Proceedings of the Informatics in Control, Automation and Robotics, 2017
A Hybrid Hierarchical Rally Driver Model for Autonomous Vehicle Agile Maneuvering on Loose Surfaces.
Proceedings of the 14th International Conference on Informatics in Control, 2017
A Virtual Sensor for Integral Tire Force Estimation using Tire Model-less Approaches and Adaptive Unscented Kalman Filter.
Proceedings of the 14th International Conference on Informatics in Control, 2017
Proceedings of the XXVI International Conference on Information, 2017
2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
2015
Intelligent road adaptive suspension system design using an experts' based hybrid genetic algorithm.
Expert Syst. Appl., 2015
Anomaly detection in time series data using a combination of wavelets, neural networks and Hilbert transform.
Proceedings of the 6th International Conference on Information, 2015
2014
A new min-max methodology for computing optimised obstacle avoidance steering manoeuvres of ground vehicles.
Int. J. Syst. Sci., 2014
2013
Experimental evaluation of optimal Vehicle Dynamic Control based on the State Dependent Riccati Equation technique.
Proceedings of the American Control Conference, 2013
2002
Math. Comput. Simul., 2002