Responsive and time-constrained reasoning in autonomous vehicles

A knowledge-based architecture currently being implemented is reported, that addresses the problems of responsive and time-constrained reasoning within an autonomous vehicle. The architecture is implemented on a multiprocessor system and uses task scheduling to achieve minimum response times to external stimuli. Time-constrained reasoning is achieved by reasoning at different abstraction levels within the multiprocessor architecture, thereby trading off solution quality against solution time.<>