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Tight integration of INS/Stereo VO/Digital map for land vehicle navigation / Fei Liu in Photogrammetric Engineering & Remote Sensing, PERS, vol 84 n° 1 (January 2018)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 84 n° 1 (January 2018) . - pp 15 - 23 Titre : Tight integration of INS/Stereo VO/Digital map for land vehicle navigation Type de document : Article/Communication Auteurs : Fei Liu, Auteur ; Yashar Balazadegan, Auteur ; Yang Gao, Auteur Année de publication : 2018 Article en page(s) : pp 15 - 23 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement [Termes IGN] centrale inertielle [Termes IGN] correction géométrique [Termes IGN] erreur instrumentale [Termes IGN] filtre de Kalman [Termes IGN] navigation à l'estime [Termes IGN] odomètre [Termes IGN] système de numérisation mobile Résumé : (Auteur) This paper proposes a method for tight integration of IMU (Inertial Measurement Unit), stereo VO (Visual Odometry) and digital map for land vehicle navigation, which effectively limits the quick drift of DR (Dead Reckoning) navigation system. In this method, the INS provides the dynamic information of the land vehicle, which is used to predict the position and attitude of cameras in order to obtain the predicted pixel coordinates of features on the image. The difference between the measured and predicted pixel coordinates is used to reduce the accumulated errors of INS. To implement the proposed method, an Extended Kalman filter (EKF) is first used to integrate the inertial and visual sensor data. The integrated solution of position, velocity and azimuth is then applied by fuzzy logic map matching (MM) to project the vehicle location on the correct road link. The projected position on the road link and the road link azimuth can finally be used to reduce the dead reckoning drifts. In this way, the accumulated system errors can be significantly reduced. The testing results indicate that the horizontal RMSE (root-mean-square-error) of the proposed method is less than 20 meters over a traveled distance of five kilometers and the relative horizontal error is below 0.4 percent. Numéro de notice : A2018-020 Affiliation des auteurs : non IGN Thématique : IMAGERIE/POSITIONNEMENT Nature : Article DOI : 10.14358/PERS.84.1.15 En ligne : https://doi.org/10.14358/PERS.84.1.15 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89167 [article]

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