---
_id: '11724'
abstract:
- lang: eng
  text: In this paper we present a novel vehicle tracking method which is based on
    multi-stage Kalman filtering of GPS and IMU sensor data. After individual Kalman
    filtering of GPS and IMU measurements the estimates of the orientation of the
    vehicle are combined in an optimal manner to improve the robustness towards drift
    errors. The tracking algorithm incorporates the estimation of time-variant covariance
    parameters by using an iterative block Expectation-Maximization algorithm to account
    for time-variant driving conditions and measurement quality. The proposed system
    is compared to an interacting multiple model approach (IMM) and achieves improved
    localization accuracy at lower computational complexity. Furthermore we show how
    the joint parameter estimation and localizaiton can be conducted with streaming
    input data to be able to track vehicles in a real driving environment.
author:
- first_name: Maik
  full_name: Bevermeier, Maik
  last_name: Bevermeier
- first_name: Sven
  full_name: Peschke, Sven
  last_name: Peschke
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Bevermeier M, Peschke S, Haeb-Umbach R. Joint Parameter Estimation and Tracking
    in a Multi-Stage Kalman Filter for Vehicle Positioning. In: <i>IEEE 69th Vehicular
    Technology Conference (VTC 2009 Spring)</i>. ; 2009:1-5. doi:<a href="https://doi.org/10.1109/VETECS.2009.5073634">10.1109/VETECS.2009.5073634</a>'
  apa: Bevermeier, M., Peschke, S., &#38; Haeb-Umbach, R. (2009). Joint Parameter
    Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning.
    In <i>IEEE 69th Vehicular Technology Conference (VTC 2009 Spring)</i> (pp. 1–5).
    <a href="https://doi.org/10.1109/VETECS.2009.5073634">https://doi.org/10.1109/VETECS.2009.5073634</a>
  bibtex: '@inproceedings{Bevermeier_Peschke_Haeb-Umbach_2009, title={Joint Parameter
    Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning},
    DOI={<a href="https://doi.org/10.1109/VETECS.2009.5073634">10.1109/VETECS.2009.5073634</a>},
    booktitle={IEEE 69th Vehicular Technology Conference (VTC 2009 Spring)}, author={Bevermeier,
    Maik and Peschke, Sven and Haeb-Umbach, Reinhold}, year={2009}, pages={1–5} }'
  chicago: Bevermeier, Maik, Sven Peschke, and Reinhold Haeb-Umbach. “Joint Parameter
    Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning.”
    In <i>IEEE 69th Vehicular Technology Conference (VTC 2009 Spring)</i>, 1–5, 2009.
    <a href="https://doi.org/10.1109/VETECS.2009.5073634">https://doi.org/10.1109/VETECS.2009.5073634</a>.
  ieee: M. Bevermeier, S. Peschke, and R. Haeb-Umbach, “Joint Parameter Estimation
    and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning,” in <i>IEEE
    69th Vehicular Technology Conference (VTC 2009 Spring)</i>, 2009, pp. 1–5.
  mla: Bevermeier, Maik, et al. “Joint Parameter Estimation and Tracking in a Multi-Stage
    Kalman Filter for Vehicle Positioning.” <i>IEEE 69th Vehicular Technology Conference
    (VTC 2009 Spring)</i>, 2009, pp. 1–5, doi:<a href="https://doi.org/10.1109/VETECS.2009.5073634">10.1109/VETECS.2009.5073634</a>.
  short: 'M. Bevermeier, S. Peschke, R. Haeb-Umbach, in: IEEE 69th Vehicular Technology
    Conference (VTC 2009 Spring), 2009, pp. 1–5.'
date_created: 2019-07-12T05:27:02Z
date_updated: 2022-01-06T06:51:07Z
department:
- _id: '54'
doi: 10.1109/VETECS.2009.5073634
keyword:
- computational complexity
- expectation-maximisation algorithm
- Global Positioning System
- inertial measurement unit
- inertial navigation
- interacting multiple model
- iterative block expectation-maximization algorithm
- Kalman filters
- multi-stage Kalman filter
- parameter estimation
- road vehicles
- vehicle positioning
- vehicle tracking
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2009/BePeHa09-1.pdf
oa: '1'
page: 1-5
publication: IEEE 69th Vehicular Technology Conference (VTC 2009 Spring)
status: public
title: Joint Parameter Estimation and Tracking in a Multi-Stage Kalman Filter for
  Vehicle Positioning
type: conference
user_id: '44006'
year: '2009'
...
---
_id: '11881'
abstract:
- lang: eng
  text: A combination of GPS (global positioning system) and INS (inertial navigation
    system) is known to provide high precision and highly robust vehicle localization.
    Notably during times when the GPS signal has a poor quality, e.g. due to the lack
    of a sufficiently large number of visible satellites, the INS, which may consist
    of a gyroscope and an odometer, will lead to improved positioning accuracy. In
    this paper we show how velocity information obtained from GSM (global system for
    mobile communications) signalling, rather than from a tachometer, can be used
    together with a gyroscope sensor to support localization in the presence of temporarily
    unavailable GPS data. We propose a sensor fusion system architecture and present
    simulation results that show the effectiveness of this approach.
author:
- first_name: Sven
  full_name: Peschke, Sven
  last_name: Peschke
- first_name: Maik
  full_name: Bevermeier, Maik
  last_name: Bevermeier
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Peschke S, Bevermeier M, Haeb-Umbach R. A GPS positioning approach exploiting
    GSM velocity estimates. In: <i>6th Workshop on Positioning Navigation and Communication
    (WPNC 2009)</i>. ; 2009:195-202. doi:<a href="https://doi.org/10.1109/WPNC.2009.4907827">10.1109/WPNC.2009.4907827</a>'
  apa: Peschke, S., Bevermeier, M., &#38; Haeb-Umbach, R. (2009). A GPS positioning
    approach exploiting GSM velocity estimates. In <i>6th Workshop on Positioning
    Navigation and Communication (WPNC 2009)</i> (pp. 195–202). <a href="https://doi.org/10.1109/WPNC.2009.4907827">https://doi.org/10.1109/WPNC.2009.4907827</a>
  bibtex: '@inproceedings{Peschke_Bevermeier_Haeb-Umbach_2009, title={A GPS positioning
    approach exploiting GSM velocity estimates}, DOI={<a href="https://doi.org/10.1109/WPNC.2009.4907827">10.1109/WPNC.2009.4907827</a>},
    booktitle={6th Workshop on Positioning Navigation and Communication (WPNC 2009)},
    author={Peschke, Sven and Bevermeier, Maik and Haeb-Umbach, Reinhold}, year={2009},
    pages={195–202} }'
  chicago: Peschke, Sven, Maik Bevermeier, and Reinhold Haeb-Umbach. “A GPS Positioning
    Approach Exploiting GSM Velocity Estimates.” In <i>6th Workshop on Positioning
    Navigation and Communication (WPNC 2009)</i>, 195–202, 2009. <a href="https://doi.org/10.1109/WPNC.2009.4907827">https://doi.org/10.1109/WPNC.2009.4907827</a>.
  ieee: S. Peschke, M. Bevermeier, and R. Haeb-Umbach, “A GPS positioning approach
    exploiting GSM velocity estimates,” in <i>6th Workshop on Positioning Navigation
    and Communication (WPNC 2009)</i>, 2009, pp. 195–202.
  mla: Peschke, Sven, et al. “A GPS Positioning Approach Exploiting GSM Velocity Estimates.”
    <i>6th Workshop on Positioning Navigation and Communication (WPNC 2009)</i>, 2009,
    pp. 195–202, doi:<a href="https://doi.org/10.1109/WPNC.2009.4907827">10.1109/WPNC.2009.4907827</a>.
  short: 'S. Peschke, M. Bevermeier, R. Haeb-Umbach, in: 6th Workshop on Positioning
    Navigation and Communication (WPNC 2009), 2009, pp. 195–202.'
date_created: 2019-07-12T05:30:04Z
date_updated: 2022-01-06T06:51:11Z
department:
- _id: '54'
doi: 10.1109/WPNC.2009.4907827
keyword:
- cellular radio
- distance measurement
- global positioning system
- Global Positioning System
- global system for mobile communications
- GPS positioning approach
- GSM velocity
- gyroscopes
- gyroscope sensor
- inertial navigation
- inertial navigation system
- odometer
- sensor fusion system architecture
- sensors
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2009/PeBeHa09-1.pdf
oa: '1'
page: 195-202
publication: 6th Workshop on Positioning Navigation and Communication (WPNC 2009)
status: public
title: A GPS positioning approach exploiting GSM velocity estimates
type: conference
user_id: '44006'
year: '2009'
...