GER-EN - GNSS Error Reduction Using an Elastic Network Based on V2V and LiDAR

摘要

Vehicle2Vehicle is an emerging and promising research area, with several applications in IoT and in self-driving vehicles. It allows vehicle to establish ad-hoc connections for information sharing and improve users security while driving. V2V systems are strongly dependent on localization accuracy. In a common outdoor scenario, it is possible to use satellite-based navigation systems in order to determine user position in space, but the accuracy may vary due to interferences and when the sky visibility is sub-optimal. In this paper we present GER-EN - GNSS Error Reduction using an Elastic Network based on V2V and LiDAR, a novel methodology for reducing satellite-based systems error using a combination of V2V, LiDAR-based distances and an elastic graph generated by the vehicles in the area.