Integrating social neuroscience into human-machine mutual behavioral understanding for autonomous driving

Autonomous vehicles(AVs)are advertised to free human drivers,providing a safer and more efficient transport mode.After decades of extensive investment and invention,various types of AVs have been unveiled,but they are still restricted to limited application scenarios because of potential safety concerns.Despite rare sensing or detection failures from corner cases,one of the significant concerns primarily questions whether AVs would interact appropriately with surrounding human-driven vehicles on public roads.