A new decentralized Bayesian approach for cooperative vehicle localization based on fusion of GPS and VANET based inter-vehicle distance measurement

Mohsen Rohani (1) , Denis Gingras (1) , Vincent Vigneron (2) , Gruyer Dominique (3)

1 Electrical and Computer Engineering Department
2 IBISC - Informatique, Biologie Intégrative et Systèmes Complexes
3 IFSTTAR/COSYS/LIVIC - Laboratoire sur les Interactions Véhicules-Infrastructure-Conducteurs

Accurate and reliable vehicle localization is a key component of numerous automotive and Intelligent Transportation System (ITS) applications, including active vehicle safety systems, real time estimation of traffic conditions, and high occupancy tolling [1]. Various safety critical vehicle applications in particular, such as collision avoidance or mitigation, lane change management or emergency braking assistance systems, rely principally on the accurate and reliable knowledge of vehicles? positioning within given vicinity.

Mots clés: Bayesian approaches; Cooperative vehicles; Intelligent transportation systems; Real-time estimation; Traffic conditions; Vehicle applications; Vehicle localization; Vehicle safety systems

Domaines: Traitement du signal et de l'image [eess.SP]

Mohsen Rohani, Denis Gingras, Vincent Vigneron, Gruyer Dominique. A new decentralized Bayesian approach for cooperative vehicle localization based on fusion of GPS and VANET based inter-vehicle distance measurement. IEEE Intelligent Transportation Systems Magazine, 2015, 7 (2), pp.85--95. ⟨10.1109/MITS.2015.2408171⟩. ⟨hal-01151652⟩