ABSTRACT
This chapter proposes a new formulation of multi-vehicle cooperation based on sharing global navigation satellite systems corrections, as a way to extend the principle of differential global positioning system to dynamic reference base stations. It explains a new cooperative algorithm for vehicles positioning based on set inversion method with constraint satisfaction problem techniques on intervals. The chapter presents an overview of the developments or work in cooperative localization and evaluates the performance in real conditions using a ground truth system. Vehicles share their estimated global navigation satellite systems errors, their dead-reckoning measurements, and their positions. In the field of robotics, localization can guide robots in difficult places that are inaccessible or contaminated to perform different tasks autonomously. Localization is used in many fields, such as by sailors who need to know their absolute position regularly. Many consumer applications utilize localization.
