@inproceedings{discovery1427143,
            note = {{\copyright} 2014 IEEE. Personal use of this material (accepted version) is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.},
       publisher = {IEEE},
           title = {The Four Key Challenges of Advanced Multisensor Navigation and Positioning},
           pages = {773--792},
       booktitle = {Position, Location and Navigation Symposium - PLANS 2014, 2014 IEEE/ION},
            year = {2014},
         address = {Piscataway, US},
           month = {May},
        keywords = {Integrated Navigation, Multisensor Navigation, UrbanPositioning},
             url = {http://dx.doi.org/10.1109/PLANS.2014.6851443},
          author = {Groves, PD and Wang, L and Walter, D and Martin, H and Voutsis, K and Jiang, Z},
        abstract = {The next generation of navigation and positioning
systems must provide greater accuracy and reliability in a range
of challenging environments to meet the needs of a variety of
mission-critical applications. No single navigation technology is
robust enough to meet these requirements on its own, so a
multisensor solution is required. Although many new navigation
and positioning methods have been developed in recent years,
little has been done to bring them together into a robust, reliable,
and cost-effective integrated system. To achieve this, four key
challenges must be met: complexity, context, ambiguity, and
environmental data handling. This paper addresses each of these
challenges. It describes the problems, discusses possible
approaches, and proposes a program of research and
standardization activities to solve them. The discussion is
illustrated with results from research into urban GNSS
positioning, GNSS shadow matching, environmental feature
matching, and context detection.}
}