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Journal Articles
  • A. Plebe, H. Svensson, S. Mahmoud, and M. Da Lio, "Human-inspired autonomous driving: A survey", Cognitive Systems Research, 2024.  [PAPER]

  • A. Plebe and M. Da Lio, "Bio-inspired circular latent spaces to estimate objects' rotations", Frontiers in Computational Neuroscience, 2023.  [PAPER]  [CODE]

  • 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.  [PAPER]  [VIDEO]

  • 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.  [PAPER]

  • 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.  [PAPER]  [VIDEO]

  • 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.  [PAPER]  [CODE]  [VIDEO]

  • 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.  [PAPER]  [CODE]

  • A. Plebe, M. Da Lio, and D. Bortoluzzi, "On reliable neural network sensorimotor control in autonomous vehicles", IEEE Transactions on Intelligent Transportation Systems, 2020.  [PAPER]

  • A. Plebe and G. Grasso, "Conceptual integrity without concepts", International Journal of Software Engineering and Knowledge Engineering, 2018.  [PAPER]

Conferences, Workshops, and Book Chapters
  • 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 Symposium (IV), 2023.  [PAPER]

  • S. Mahmoud and A. Plebe, "A critical look into cognitively-inspired artificial intelligence",  8th International Workshop on Artificial Intelligence and Cognition (AIC), 2022.  [PAPER]

  • 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.  [PAPER]  [CODE]

  • A. Plebe and M. Da Lio, "Neurocognitive-inspired approach for visual perception in autonomous driving", Smart Cities, Green Technologies and Intelligent Transport Systems, 2021.  [PAPER]

  • 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.  [PAPER]

  • 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​.  [PAPER]

  • 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.  [PAPER]  [CODE]

  • 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.  [PAPER]

  • A. Plebe, V. Cutello, and M. Pavone, "Optimizing costs and quality of interior lighting by genetic algorithm", Studies in Computational Intelligence, 2019.  [PAPER]

  • 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.  [PAPER]

  • A. Plebe, V. Cutello, and M. Pavone, "Evolving illumination design following genetic strategies", 9th International Joint Conference on Computational Intelligence (IJCCI), 2017.  [PAPER]

  • 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​.  [PAPER]

  • 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.  [PAPER]

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