| The mercury imaging X-ray spectrometer (MIXS) on bepicolombo GW Fraser, JD Carpenter, DA Rothery, JF Pearson, A Martindale, ... Planetary and Space Science 58 (1-2), 79-95, 2010 | 179 | 2010 |
| YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles A Benjumea, I Teeti, F Cuzzolin, A Bradley arXiv preprint arXiv:2112.11798, 2021 | 154 | 2021 |
| Road: The road event awareness dataset for autonomous driving G Singh, S Akrigg, M Di Maio, V Fontana, RJ Alitappeh, S Khan, S Saha, ... IEEE transactions on pattern analysis and machine intelligence 45 (1), 1036-1054, 2022 | 81 | 2022 |
| Multi-weather city: Adverse weather stacking for autonomous driving V Mușat, I Fursa, P Newman, F Cuzzolin, A Bradley Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 37 | 2021 |
| Simulating Malicious Attacks on VANETs for Connected and Autonomous Vehicle Cybersecurity: A Machine Learning Dataset S Iqbal, P Ball, MH Kamarudin, A Bradley 2022 13th International Symposium on Communication Systems, Networks and …, 2022 | 34 | 2022 |
| Utility of the MOCA as a cognitive predictor for fitness to drive P Esser, S Dent, C Jones, BJ Sheridan, A Bradley, DT Wade, H Dawes Journal of Neurology, Neurosurgery & Psychiatry 87 (5), 567-568, 2016 | 27 | 2016 |
| System Design for a Driverless Autonomous Racing Vehicle J Culley, S Garlick, EG Esteller, P Georgiev, I Fursa, I Vander Sluis, P Ball, ... 2020 12th International Symposium on Communication Systems, Networks and …, 2020 | 24 | 2020 |
| 1.5 Degrees of Separation: Computer Science Education in the Age of the Anthropocene I Pollock, B Alshaigy, A Bradley, BR Krogstie, V Kumar, L Ott, AK Peters, ... Proceedings of the 2019 ACM Conference on Innovation and Technology in …, 2019 | 17 | 2019 |
| Vision-based Intention and Trajectory Prediction in Autonomous Vehicles: A Survey I Teeti, S Khan, A Shahbaz, A Bradley, F Cuzzolin Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 14 | 2022 |
| Vision in adverse weather: Augmentation using CycleGANs with various object detectors for robust perception in autonomous racing I Teeti, V Musat, S Khan, A Rast, F Cuzzolin, A Bradley arXiv preprint arXiv:2201.03246, 2022 | 11 | 2022 |
| Worsening Perception: Real-time Degradation of Autonomous Vehicle Perception Performance for Simulation of Adverse Weather Conditions I Fursa, E Fandi, V Musat, J Culley, E Gil, I Teeti, L Bilous, IV Sluis, A Rast, ... arXiv preprint arXiv:2103.02760, 2021 | 9 | 2021 |
| Real-time optimal trajectory planning for autonomous vehicles and lap time simulation using machine learning S Garlick, A Bradley Vehicle System Dynamics 60 (12), 4269-4289, 2022 | 8 | 2022 |
| Modelling of transient cornering and suspension dynamics, and investigation into the control strategies for an ideal driver in a lap time simulator IF Colunga, A Bradley Proceedings of the Institution of Mechanical Engineers, Part D: Journal of …, 2014 | 7 | 2014 |
| A Scenario-Based Functional Testing Approach to Improving DNN Performance H Zhu, TMT Tran, A Benjumea, A Bradley 2023 IEEE International Conference on Service-Oriented System Engineering …, 2023 | 4 | 2023 |
| Temporal DINO: A Self-supervised Video Strategy to Enhance Action Prediction I Teeti, RS Bhargav, V Singh, A Bradley, B Banerjee, F Cuzzolin 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW …, 2023 | 1 | 2023 |
| A Hybrid Graph Network for Complex Activity Detection in Video S Khan, I Teeti, A Bradley, M Elhoseiny, F Cuzzolin Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | | 2024 |
| MPC Controller for Autonomous Formula Student Vehicle R Shreyas, A Bradley, G Collier SAE Technical Paper, 2020 | | 2020 |
| Multibody Simulation of an Electric Go-Kart: Influence of Power-Train’s Weight Distribution on Dynamic Performance JM Anaya, SC Calderon, A Bradley, A Gonzalez-Mancera International Design Engineering Technical Conferences and Computers and …, 2019 | | 2019 |
| Formula E: The New Class MF Ferreira, A Bradley, A Toso, GB Neighbour Benchmark Mineral Intelligence, 60-67, 2016 | | 2016 |
| oro. open. ac. uk Author’s Accepted Manuscript A Martindale, J Huovelin, J Treis, M Anttila, M Ashcroft, J Benkoff, ... | | |
Fabio CuzzolinProfessor of Artificial Intelligence, Oxford Brookes University在 brookes.ac.uk 的电子邮件经过验证
