The Four Key Challenges of Advanced Multisensor Navigation and Positioning

Advanced search
Browse by:

Department | Year

UCL Theses | Latest

Deposit your research

The Four Key Challenges of Advanced Multisensor Navigation and Positioning

Groves, PD; Wang, L; Walter, D; Martin, H; Voutsis, K; Jiang, Z; (2014) The Four Key Challenges of Advanced Multisensor Navigation and Positioning. In: Position, Location and Navigation Symposium - PLANS 2014, 2014 IEEE/ION. (pp. pp. 773-792). IEEE: Piscataway, US. Green open access

[thumbnail of PLANS14_Groves_et_al_UCL_Discovery.pdf]

Preview

PDF
PLANS14_Groves_et_al_UCL_Discovery.pdf
Download (1MB)

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.

Type:	Proceedings paper
Title:	The Four Key Challenges of Advanced Multisensor Navigation and Positioning
Event:	IEEE/ION Position, Location, and Navigation Symposium (PLANS) 2014
Location:	Monterey , CA, USA
Dates:	2014-05-05 - 2014-05-08
Open access status:	An open access version is available from UCL Discovery
DOI:	10.1109/PLANS.2014.6851443
Publisher version:	http://dx.doi.org/10.1109/PLANS.2014.6851443
Language:	English
Additional information:	© 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.
Keywords:	Integrated Navigation, Multisensor Navigation, UrbanPositioning
UCL classification:	UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng
URI:	https://discovery.ucl.ac.uk/id/eprint/1427143