System development and performance investigation of mobile ad-hoc networks in vehicular environments

Chuang, Bin-Wen; Tarng, Jenn‐Hwan; Lin, Jenn-Wei; Wang, C.

doi:10.1109/ivs.2005.1505119

Cited by 8 publications

(1 citation statement)

References 2 publications

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“…Inter vehicle communication has opened up new prospects to improve the existing driver assistance systems [1], this topic has attracted the interest of many research in the last years as intersection assistance in [2], environmental perception enhancing [3] and implementation of high speed mobile network [4]. Localization is one of the most important tasks of driver assistance systems.…”

Section: Introductionmentioning

confidence: 99%

Cooperative Multi-Vehicle Localization

Karam¹,

Chausse²,

Aufrère

et al.

2006 IEEE Intelligent Vehicles Symposium

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This paper considers the problem of cooperative localization of an heterogeneous group of road vehicles. Each vehicle is equipped with proprioceptive and exteroceptive sensors enabling it to localize itself in its environment and also to identify and localize the other members of the group. Localization information can be exchanged between the vehicles through a wireless communication device. Every member of the group maintains an estimation of the state of its environment and transmits it to its neighbors. The global state of the environment is obtained by fusing the environment states of the vehicles. This fusion is based on an Extended Kalman Filter where the group is represented by a single system which describes the state of every member The proposed approach take into account sensor constraints as data unavailability and delays.

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