Publication | Closed Access
Lane-Level Integrity Provision for Navigation and Map Matching With GNSS, Dead Reckoning, and Enhanced Maps
171
Citations
26
References
2009
Year
EngineeringLocation EstimationPrecision NavigationLocalizationSocial SciencesGlobal Positioning SystemCalibrationSystems EngineeringPositioningAutomatic NavigationCartographyMap MatchingLane-level PositioningVehicle LocalizationEnhanced MapsComputer ScienceAutonomous NavigationSatellite Navigation SystemsOdometryLane-level Integrity ProvisionGlobal Satellite Navigation SystemsNavigation System
Lane‑level positioning and map matching remain major challenges, and integrity is essential for safety‑critical applications such as electronic tolling. This paper introduces a pioneering solution that integrates positioning, map matching, and integrity provision at the lane level. The approach fuses GNSS, odometer, and gyroscope data with enhanced digital maps using a multiple‑hypothesis particle‑filter algorithm. Field tests in France and Germany demonstrate excellent positioning, map matching, and integrity performance, confirming the feasibility of the proposal.
Lane-level positioning and map matching are some of the biggest challenges for navigation systems. Additionally, in safety applications or in those with critical performance requirements (such as satellite-based electronic fee collection), integrity becomes a key word for the navigation community. In this scenario, it is clear that a navigation system that can operate at the lane level while providing integrity parameters that are capable of monitoring the quality of the solution can bring important benefits to these applications. This paper presents a pioneering novel solution to the problem of combined positioning and map matching with integrity provision at the lane level. The system under consideration hybridizes measurements from a global navigation satellite system (GNSS) receiver, an odometer, and a gyroscope, along with the road information stored in enhanced digital maps, by means of a multiple-hypothesis particle-filter-based algorithm. A set of experiments in real environments in France and Germany shows the very good results obtained in terms of positioning, map matching, and integrity consistency, proving the feasibility of our proposal.
| Year | Citations | |
|---|---|---|
Page 1
Page 1