Abstract:
Vehicular communication technologies are on their way to be recognized as staples of modern societies. One important challenge to safety-related applications of vehicular...Show MoreMetadata
Abstract:
Vehicular communication technologies are on their way to be recognized as staples of modern societies. One important challenge to safety-related applications of vehicular communication is provision of semi-precise positioning. Cooperative positioning is proposed for that purpose, and of course from research point of view is very attractive. From the practical point of view the attractiveness of cooperative positioning lies in its independence from any major additional infrastructure other than the vehicular communication systems. This paper introduces a new positioning algorithm for localization of mobile networks, in general, that applies directly to vehicular networks. The algorithm is based on the well known multidimensional algorithm and shows impressive performance compared to its counterparts in the vehicular positioning literature.
Date of Conference: 11-12 November 2009
Date Added to IEEE Xplore: 29 January 2010
ISBN Information:
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- IEEE Keywords
- Index Terms
- Filtering Algorithm ,
- Particle Filter ,
- Cooperative Positioning ,
- Mobile Network ,
- Local Algorithm ,
- Vehicular Communication ,
- Research Point Of View ,
- Maximum Likelihood Estimation ,
- Cost Function ,
- Global Positioning System ,
- Kalman Filter ,
- Dissimilarity Matrix ,
- Node Positions ,
- Position Estimation ,
- Posterior Mode ,
- Maximum A Posteriori ,
- Dissimilarity Measure ,
- Extended Kalman Filter ,
- Ad Hoc Networks ,
- Cramer-Rao Lower Bound ,
- Vehicular Ad Hoc Networks ,
- Dedicated Short Range Communication ,
- Classical Multidimensional Scaling ,
- Advanced Driver Assistance Systems ,
- Inertial Navigation ,
- Traffic Assignment ,
- Kinematic Information ,
- Graph Layout ,
- Node Density ,
- Unknown Position
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Filtering Algorithm ,
- Particle Filter ,
- Cooperative Positioning ,
- Mobile Network ,
- Local Algorithm ,
- Vehicular Communication ,
- Research Point Of View ,
- Maximum Likelihood Estimation ,
- Cost Function ,
- Global Positioning System ,
- Kalman Filter ,
- Dissimilarity Matrix ,
- Node Positions ,
- Position Estimation ,
- Posterior Mode ,
- Maximum A Posteriori ,
- Dissimilarity Measure ,
- Extended Kalman Filter ,
- Ad Hoc Networks ,
- Cramer-Rao Lower Bound ,
- Vehicular Ad Hoc Networks ,
- Dedicated Short Range Communication ,
- Classical Multidimensional Scaling ,
- Advanced Driver Assistance Systems ,
- Inertial Navigation ,
- Traffic Assignment ,
- Kinematic Information ,
- Graph Layout ,
- Node Density ,
- Unknown Position
- Author Keywords