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Optimal Stochastic Sensor Error Modeling based on Actual Impact on Quality of GNSS-INS Integrated Navigation

Publications associées (153)

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Hyperstar: A multi-path Astar algorithm for risk averse vehicle navigation

The Astar algorithm, which forms the backbone of vehicle navigation systems, is capable of producing only one path. Given uncertainty about link travel times, there is interest in algorithms that can deliver all the paths that may be optimal, termed collec ...

Elsevier2009

In-flight Accuracy Estimation for Airborne Lidar Data

Yannick Stebler

One of the main problems of today’s Airborne Laser Scanning (ALS) systems is the lack of reliable data quality assessment within or shortly after the airborne survey campaign. This paper presents the development and implementation of a tool that allows com ...

Inst Navigation, 815 15Th Th St Nw, Ste 832, Washington, Dc 20005 Usa2009

Redundant MEMS-IMU integrated with GPS for Performance Assessment in Sports

Jan Skaloud, Stéphane Guerrier

In this article, we investigate two different algorithms for the integration of GPS with redundant MEMS-IMUs. Firstly, the inertial measurements are combined in the observation space to generate a synthetic set of data which is then integrated with GPS by ...

IEEE2008

Impact of Galileo on the Road Sector

Pierre-Yves Gilliéron

This presentation describes the main ITS (Intelligent Trasnportion Systems) services and their requirements in positioning. Different types of navigation systems are presented with a focus on satellite-based systems and the potential of Galileo with value ...

2007

Map-based Autonomous Personal Localization and Tracking

Michel Bierlaire, Bertrand Merminod

An autonomous localisation and tracking method is a method independent from the reception of external data. In our approach we ignore methods like GPS- and WiFi- positioning and we focus on the use of inertial navigation system (INS) carried by the person ...

2007

Multivariate Calibration of Non-replicated Measurements for Heteroscedastic Errors

Nirav Pravinbhai Bhatt

The quality of multivariate calibration (MVC) models obtained depends on the effective treatment of errors in spectral data. If errors in different absorbance measurements are correlated and have different variances, then the Maximum Likelihood Principal C ...

2007

Assessment of GPS/MEMS-IMU Integration Performance in Ski Racing

Jan Skaloud

This paper describes an experiment involving a professional downhill skier equipped with GPS and MEMS-IMU, as well as a triad of magnetometers and a tactical-grade inertial unit. The experiment illustrates the navigation performance of GPS/MEMS integration ...

2007

Bayesian Approach for Indoor Pedestrian Localisation

The principal concept of navigation is to start from a known (initial) position and to ensure a continued and reliable localisation of the user during his/her movement. The initial position of the trajectory is usually obtained via GPS or defined by the us ...

STRC 20062006

Bayesian Approach for Indoor Pedestrian Localisation

Michel Bierlaire, Bertrand Merminod

2006

Bayesian Inference for Autonomous Personal Localisation Indoors

Michel Bierlaire, Bertrand Merminod

2006