Emergent situation awareness of drivable routes for autonomous robots using temporal probalistic reasoning

Abstract

In this paper, temporal probabilistic reasoning of the Emergent Situation Awareness (ESA) technology is proposed as a supportive strategy for autonomous navigation. The ability to reveal uncertainties over time is a drivable route awareness strategy of hidden paths embedded in the complex environments. Experimental evaluations of the ESA on real life and publicly available road frames outperform the classical statistical baseline methods in handling uncertainties over time. Our awareness results reveal to robotic vehicles that all ground planes are not traversable routes.