The navigation of autonomous vehicles in uncertain dynamic environments: a case study

Abstract

This paper proposes a method for building with multiple vehicles a probability map of uncertain dynamic environments. It is assumed that each vehicle has a limited sensor range and therefore lacks global information. The vehicles share their measurement information to build a probability map. The probability map is updated using sensor information and a priori statistics of the dynamic environment.