A Cooperative Vehicle Ego-localization Application Using V2V Communications with CBL Clustering
Résumé
The cooperative vehicle paradigm offers new opportunities for enhancing various vehicle functions through distributed applications. The localization function is one of the most important since its services are needed by numerous applications ranging from driver navigation to autonomous vehicle guiding. Though the GPS (Global Positioning System) provides honorable service for driver navigation, its precision is not accurate for allowing an autonomous vehicle to localize itself correctly on the road lanes. Recently an ego-localization technique where a group of vehicles exchange their position and the related correction through V2V communications has been proposed in order to enhance the precision of the location of each node in the group. In this paper, we evaluate the performance that this application can expect from V2V communication services supplied by the CBL (Chain-Branch-Leaf) clustering scheme. The simulation results show that CBL achieves delays and packet delivery ratio adapted to various rates of the ego-localization application traffic.