Abstract
The vehicular ad hoc network is an emerging technology providing quick and cost-efficient communications in the automobile industry and great applications providing safety, driver assistance and comfort. Real-time information about a vehicle node’s position is based on assumptions acquired from various protocols and applications. One of the most popular technologies, the global positioning system (GPS), has been installed in vehicles to provide reasonable assumptions. A vehicular network depends on localization systems showing vehicle movement in critical areas. GPS systems have faced undesirable issues, such as information not always being available and not being robust enough for some applications. Different types of localization methods have been proposed, such as image/video localization, cellular localization and dead reckoning, to overcome GPS limitations. Data fusion for vehicle positioning is an emerging solution for robust and accurate techniques to replace previous techniques. In this paper, our discussion is based on localization requirements, localization applications and techniques, and the issues for vehicular ad hoc networks. Furthermore, we discuss how these localization techniques and data fusion are combined and used in safety applications to enhance network performance.
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