The impact of cooperative localization on achieving higher-level goals

Cooperative localization is a promising way to improve localization accuracy and coverage in GPS-challenged conditions. Accuracy and coverage improvements have a direct, though not necessarily proportional, impact on higher-level goals that rely on location information. We evaluate this impact in terms of achieving a non-cooperative navigation task, by extending the conventional state-space model with a control signal and continuous-time processing. For a heterogeneous scenario involving two nodes, we show how cooperation can enable task completion, and reduce the time to completion.