New approach to simultaneous localization and dynamic map building

A new method for simultaneous vehicle localization and dynamic map building is described. The method models the noise sources as bounded distributions and can therefore produce bounded estimates for the vehicle and all the target positions. Correlations that arise between vehicle and target estimates when using other techniques, such as the Kalman filter, do not arise, and hence a significant saving in memory and computation is achieved.