Low cost IMU-Odometer-GPS ego localization for unusual maneuvers

This paper presents the problem of outdoor vehicle localization during unusual maneuvers with the Interacting Multiple Model (IMM) and Extended Kalman Filter (EKF) approaches. IMM, contrary to classical methods, is based on the discretization of the vehicle evolution space into simple maneuvers. Each maneuver is represented by a simple dynamic model such as a constant velocity or a constant turning model. This allows the method to be optimized for highly dynamic vehicles. In this work, we focus on unusual vehicle maneuvers during some special driving situations, including very strong accelerations, high speed turnings or backwards driving with stop stages. The presented results are based on real measurements collected from different scenarios. Based on an EKF vs. IMM comparison, these results show a real interest of using the IMM method in order to take into account unusual maneuvers.

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Additional Info

Field Value
Source ISSN: 1566-2535
Author Ndjeng Ndjeng, A, Gruyer, D, Glaser, S, Lambert, A
Maintainer CCSD
Last Updated May 9, 2026, 07:25 (UTC)
Created May 9, 2026, 07:25 (UTC)
Identifier hal-00875221
Language en
contributor Laboratoire sur les Interactions Véhicules-Infrastructure-Conducteurs (IFSTTAR/LIVIC) ; Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)
creator Ndjeng Ndjeng, A
date 2011-01-01T00:00:00
harvest_object_id c0e4aef6-90d2-4899-bb47-77f2a1db4c13
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-08-12T00:00:00
relation info:eu-repo/semantics/altIdentifier/doi/10.1016/j.inffus.2010.06.006
set_spec type:ART