Selected Publications

Below are selected publications since AVAILab’s foundation in 2016.
The full list of publications by Dr Mauro S. Innocente is available here.

Journal Papers

1. P. Grasso, & M.S. Innocente (2020). Physics-based model of wildfire propagation towards faster-than-real-time simulations. Computers and Mathematics with Applications, 80, 790-808.
   DOI: 10.1016/j.camwa.2020.05.009
2. A.M. Dizqah, B.L. Ballard, M.V. Blundell, S. Kanarachos, & M.S. Innocente (2020). A Non-Convex Control Allocation Strategy as Energy-Efficient Torque Distributors for On-Road and Off-Road Vehicles. Control Engineering Practice, 95.
   DOI: 10.1016/j.conengprac.2019.104256
3. M.S. Innocente, & P. Grasso (2019). Self-organising swarms of firefighting drones: Harnessing the power of collective intelligence in decentralised multi-robot systems. Journal of Computational Science, 34, 80-101.
   DOI: 10.1016/j.jocs.2019.04.009

Book Chapters

1. J.J. Tai, M.S. Innocente, & O. Mehmood (2021). FasteNet: A Fast Railway Fastener Detector. In Advances in Intelligent Systems and Computing. Springer.
   DOI: TBC.
2. P. Grasso, & M.S. Innocente (2018). A two-dimensional reaction-advection-diffusion model of the spread of fire in wildlands. In Advances in Forest Fire Research 2018 (pp. 334-342). Imprensa da Universidade de Coimbra.
   DOI: 10.14195/978-989-26-16-506_36.

Conference Papers

1. P. Grasso, & M.S. Innocente (2020). Debiasing of position estimations of UWB-based TDoA indoor positioning system. In Proceedings of the 2020 UK-RAS Conference: ‘Robots into the Real World’, Lincoln, UK (virtual), 2020.
   DOI: 10.31256/Ua2Vp3X
2. P. Grasso, & M.S. Innocente (2020). Theoretical study of signal and geometrical properties of two-dimensional UWB-based indoor positioning systems using TDoA. In Proceedings of the 6th International Conference on Mechatronics and Robotics Engineering, Barcelona, Spain, 2020.
   DOI: 10.1109/ICMRE49073.2020.9065121
3. M.S. Innocente, & P. Grasso (2018). Swarm of autonomous drones self-organised to fight the spread of wildfires. In Proceedings of the GEOSAFE Workshop on Robust Solutions for Fire Fighting (Vol. 2146), L’Aquila, Italy, 2018. CEUR.
4. M.S. Innocente, & P. Grasso (2018). Proof-of-Concept Swarm of Self-Organising Drones Aimed at Fighting Wildfires. In Proceedings of the 2017 UK-RAS Conference: ‘Robots Working for and among Us’, pp. 102–105, Bristol, UK, 2017.

Conference Posters

1. D. Rajput, A.M. Dizqah, J.M. Herreros, & M.S. Innocente (2020). Effect of number of planetary gears on fuel consumption and vehicle performance in the hybrid powertrain of a passenger car. Poster session presented at the Future Powertrain Conference, Birmingham, UK.
2. M.S. Innocente, & D.J. Rogers (2017). Thermal Modelling and Design Optimisation of DC-DC Converters. Poster session presented at EPSRC Centre for Power Electronics Annual Conference, Loughborough, UK.

MSc Theses

1. Luke J. Smith (2019). Microscopic Traffic Modelling Using Cellular Automata.
   Supervisor: Dr Mauro S. Innocente (Coventry University)
2. Thomas Staite (2019). Development of a Convolutional Neural Network for the Detection of Railway Track Maintenance.
   Supervisor: Dr Mauro S. Innocente (Coventry University)
3. Paul E. Esugo (2018). Railway track following using Gazebo simulation and Erle-copter model.
   Supervisor: Dr Mauro S. Innocente (Coventry University)
4. Matthew Sumner (2018). Development of a Convolutional ANN for Image Recognition to Detect Maintenance Issues in Railway Networks by Means of Autonomous Drones.
   Supervisors: Dr Mauro S. Innocente & Magesh Nagarajan (Coventry University)
5. Ryan Barnes-Batterbee (2018). Designing and Implementing a Differential Evolution Algorithm to Train Artificial Neural Networks.
   Supervisor: Dr Mauro S. Innocente (Coventry University)
6. Paolo Grasso (2017). Mathematical modelling of spread of fire underpinning algorithmic developments for autonomous swarms of firefighting drones.
   Supervisor: Dr Mauro S. Innocente (Coventry University)
7. Brandon L. Ballard (2016). Simulated Firefighting Fleet of Autonomous Drones.
   Supervisor: Dr Mauro S. Innocente (Coventry University)