Alice Plebe, Ph.D.
A. Plebe, H. Svensson, S. Mahmoud, and M. Da Lio, "Human-inspired autonomous driving: A survey.", Cognitive Systems Research, 2024
A. Plebe and M. Da Lio, "Bio-inspired circular latent spaces to estimate objects' rotations", Frontiers in Computational Neuroscience, 2023
M. Da Lio, A. Cherubini, G. P. Rosati Papini, and A. Plebe, "Complex self-driving behaviors emerging from affordance competition in layered control architectures", Cognitive Systems Research, 2023
A. Plebe, G. P. Rosati Papini, A. Cherubini, and M. Da Lio, "Distributed cognition for collaboration between human drivers and self-driving cars", Frontiers in Artificial Intelligence, 2022
M. Da Lio, R. Donà, G. P. Rosati Papini, and A. Plebe, "The biasing of action selection produces emergent human-robot interactions in autonomous driving", IEEE Robotics and Automation Letters, 2022
G. P. Rosati Papini, A. Plebe, M. Da Lio, and R. Donà, "A reinforcement learning approach for enacting cautious behaviours in autonomous driving system: Safe speed choice in the interaction with distracted pedestrians", IEEE Transactions on Intelligent Transportation Systems, 2021
A. Plebe and M. Da Lio, "On the road with 16 neurons: Towards interpretable and manipulable latent representations for visual predictions in driving scenarios", IEEE Access, 2020
A. Plebe, M. Da Lio, and D. Bortoluzzi, "On reliable neural network sensorimotor control in autonomous vehicles", IEEE Transactions on Intelligent Transportation Systems, 2020
A. Plebe and G. Grasso, "Conceptual integrity without concepts", International Journal of Software Engineering and Knowledge Engineering, 2018
A. Cherubini, G. P. Rosati Papini, A. Plebe, and M. Da Lio. "Energy costs of safe speed policies in a pedestrian-crossing scenario", 35th IEEE Intelligent Vehicles Sym posium (IV), 2023
S. Mahmoud and A. Plebe, "A critical look into cognitively-inspired artificial intelligence", 8th International Workshop on Artificial Intelligence and Cognition (AIC), 2022
A. Plebe, J. F. Kooij, G. P. Rosati Papini, and M. Da Lio, "Occupancy grid mapping with cognitive plausibility for autonomous driving applications", Workshop on Autonomous Vehicle Vision at the IEEE/CVF International Conference on Computer Vision (ICCV), 2021
A. Plebe and M. Da Lio, "Neurocognitive-inspired approach for visual perception in autonomous driving", Smart Cities, Green Technologies and Intelligent Transport Systems, 2021
A. Plebe and M. Da Lio, "Visual perception for autonomous driving inspired by convergence–divergence zones", 11th International Symposium on Image and Signal Processing and Analysis (ISPA), 2019
A. Plebe and M. Da Lio, "Variational autoencoder inspired by brain's convergence-divergence zones for autonomous driving application", 20th International Conference on Image Analysis and Processing (ICIAP), 2019
A. Plebe, R. Donà, G. P. Rosati Papini, and M. Da Lio, "Mental imagery for intelligent vehicles", 5th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS), 2019
A. Plebe, G. P. Rosati Papini, R. Donà, and M. Da Lio, "Dreaming mechanism for training bio-inspired driving agents", 2nd International Conference on Intelligent Human Systems Integration (IHSI), 2019
A. Plebe, V. Cutello, and M. Pavone, "Optimizing costs and quality of interior lighting by genetic algorithm", Studies in Computational Intelligence, 2019
M. Da Lio, A. Plebe, D. Bortoluzzi, G. P. Rosati Papini, and R. Donà, "Autonomous vehicle architecture inspired by the neurocognition of human driving", 4th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS), 2018
A. Plebe, V. Cutello, and M. Pavone, "Evolving illumination design following genetic strategies", 9th International Joint Conference on Computational Intelligence (IJCCI), 2017
A. Plebe and M. Pavone, "Multi-objective genetic algorithm for interior lighting design", 3rd International Workshop on Machine learning, Optimization, and Big Data (MOD), 2017
A. Plebe and G. Grasso, "Particle physics and polyedra proximity calculation for hazard simulations in large-scale industrial plants", 12th International Conference of Computational Methods in Sciences and Engineering (ICCMSE), 2016