| Driving style analysis by classifying real-world data with support vector clustering Y Feng, S Pickering, E Chappell, P Iravani, C Brace 2018 3rd IEEE International Conference on Intelligent Transportation …, 2018 | 44 | 2018 |
| Monocular visual traffic surveillance: A review X Zhang, Y Feng, P Angeloudis, Y Demiris IEEE Transactions on Intelligent Transportation Systems 23 (9), 14148-14165, 2022 | 25 | 2022 |
| A support vector clustering based approach for driving style classification Y Feng, S Pickering, E Chappell, P Iravani, C Brace Int. J. Mach. Learn. Comput 9 (3), 344-350, 2019 | 18 | 2019 |
| Intelligent management of on-street parking provision for the autonomous vehicles era Q Ye, SM Stebbins, Y Feng, E Candela, M Stettler, P Angeloudis 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 15 | 2020 |
| Distance estimation by fusing radar and monocular camera with Kalman filter Y Feng, S Pickering, E Chappell, P Iravani, C Brace SAE Intelligent and Connected Vehicle Symposium 2017, 2017 | 15 | 2017 |
| Risk-aware controller for autonomous vehicles using model-based collision prediction and reinforcement learning E Candela, O Doustaly, L Parada, F Feng, Y Demiris, P Angeloudis Artificial Intelligence 320, 103923, 2023 | 8 | 2023 |
| A fuzzy logic-based approach for humanized driver modelling Y Feng, P Iravani, C Brace Journal of advanced transportation 2021, 1-13, 2021 | 8 | 2021 |
| Driving style modelling with adaptive neuro-fuzzy inference system and real driving data Y Feng, S Pickering, E Chappell, P Iravani, C Brace Advances in Human Aspects of Transportation: Proceedings of the AHFE 2018 …, 2019 | 8 | 2019 |
| Machine learning based GNSS signal classification and weighting scheme design in the built environment: a comparative experiment L Li, M Elhajj, Y Feng, WY Ochieng Satellite Navigation 4 (1), 12, 2023 | 7 | 2023 |
| Spatial-temporal flows-adaptive street layout control using reinforcement learning Q Ye, Y Feng, E Candela, J Escribano Macias, M Stettler, P Angeloudis Sustainability 14 (1), 107, 2021 | 6 | 2021 |
| Location-routing Optimisation for Urban Logistics Using Mobile Parcel Locker Based on Hybrid Q-Learning Algorithm Y Liu, Q Ye, Y Feng, J Escribano-Macias, P Angeloudis arXiv preprint arXiv:2110.15485, 2021 | 5 | 2021 |
| Fast collision prediction for autonomous vehicles using a stochastic dynamics model E Candela, Y Feng, D Mead, Y Demiris, P Angeloudis 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 5 | 2021 |
| Route planning for last-mile deliveries using mobile parcel lockers: A hybrid q-learning network approach Y Liu, Q Ye, J Escribano-Macias, Y Feng, E Candela, P Angeloudis Transportation Research Part E: Logistics and Transportation Review 177, 103234, 2023 | 4 | 2023 |
| Quantitative risk indices for autonomous vehicle training systems E Candela, Y Feng, P Angeloudis, Y Demiris arXiv preprint arXiv:2104.12945, 2021 | 2 | 2021 |
| Position estimation and autonomous control of a quad vehicle Y Feng, P Iravani, C Brace SAE Technical Paper, 2016 | 2 | 2016 |
| Short-Term, Spatio-Temporal Forecasting of Commuting Origin-Destination Demand During Peak Hours Y Li, Y Zhang, Y Feng, S Cheng, L Li, W Ochieng Transportation Research Board 103rd Annual MeetingTransportation Research Board, 2024 | 1 | 2024 |
| Safety Standards for Autonomous Vehicles: Challenges and Way Forward E Nassif, H Tian, E Candela, Y Feng, P Angeloudis, WY Ochieng 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 1 | 2023 |
| Adaptive road configurations for improved autonomous vehicle-pedestrian interactions using reinforcement learning Q Ye, Y Feng, JJE Macias, M Stettler, P Angeloudis IEEE transactions on intelligent transportation systems 24 (2), 2024-2034, 2022 | 1 | 2022 |
| Approximate Optimum Curbside Utilisation for Pick-Up and Drop-Off (PUDO) and Parking Demands Using Reinforcement Learning Q Ye, Y Feng, J Qiu, M Stettler, P Angeloudis 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 1 | 2022 |
| Enhancing Autonomous Vehicle Training with Language Model Integration and Critical Scenario Generation H Tian, K Reddy, Y Feng, M Quddus, Y Demiris, P Angeloudis arXiv preprint arXiv:2404.08570, 2024 | | 2024 |
Panagiotis AngeloudisReader in Transport Systems & Logistics, Imperial College LondonVerified email at imperial.ac.uk
