Accessing the Environmental Cognition Ability of Drivers for Intelligent Vehicles Using Brain-inspired Grid Cell Model

Even driving in the same environment, different drivers may perform differently for encoding the spatial information of environment, which implies different environmental cognition ability (ECA) among drivers. To assess such kind of ECA, a brain-inspired computational grid cell model is used to mimic the neuronal activation in the driver's brain when driving. Based on the generated activation result, the activation map, some analyses are conducted to assess ECAs of different divers. A typical parking lot is selected for the case study and the data are collected from a driving simulator. The experimental results finally demonstrate the activation difference among the drivers with different ECAs, indicating that the potential of applying grid cell model to assess the ECA of drivers, which will contribute to the development of the brain-like adaptive advanced driver assistance system (ADAS) from the perspective of spatial cognition.