Cognitive-inspired Perceptual Model for Driving Automation

Alice Plebe, Gastone Pietro Rosati Papini, Mauro Da Lio
2020 Zenodo  
This paper proposes a neural network model for visual perception in the context of autonomous driving inspired by the human cognition. Despite the growing research aimed at implementing self-driving cars, no artificial system can claim to have reached the driving performance of humans, yet. We believe that the theories about the human mind and its neural organization may reveal precious insights on how to design a more refined perceptual system for driving automation.
doi:10.5281/zenodo.4781214 fatcat:xwecgkruebdvxkpwp3oestl7xu