Graduate School and Research Center in Digital Sciences

Cooperative data fusion for GPS-aided positioning in IEEE 802.11p VANETs

Hoang, Gia-Minh; Denis, Benoit; Härri, Jérôme; Slock, Dirk TM

BMW-EURECOM-TUM Summer School 2015, July 6-11, 2015, Tegernsee, Bavaria, Germany

A framework is proposed to improve car navigation through cooperative data fusion. We consider incorporating information from GPS-enabled neighboring cars and Received Signal Strength Indication (RSSI) out of IEEE 802.11p messages. The solution includes prediction-based data resynchronization, links selection mechanisms using RSSI measurements pre-validation or a Cramér-Rao Lower Bound (CLRB) indicator eliminating non-informative data, and finally a Bayesian tracking filter. First simulations show benefits from selective cooperation in terms of navigation continuity under harsh GPS conditions.

Document Bibtex

Title:Cooperative data fusion for GPS-aided positioning in IEEE 802.11p VANETs
Type:Poster / Demo
Language:English
City:Tegernsee
Country:GERMANY
Date:
Department:Communication systems
Eurecom ref:5121
Copyright: © EURECOM. Personal use of this material is permitted. The definitive version of this paper was published in BMW-EURECOM-TUM Summer School 2015, July 6-11, 2015, Tegernsee, Bavaria, Germany and is available at :
Bibtex: @poster / demo{EURECOM+5121, year = {2015}, title = {{C}ooperative data fusion for {GPS}-aided positioning in {IEEE} 802.11p {VANET}s}, author = {{H}oang, {G}ia-{M}inh and {D}enis, {B}enoit and {H}{\"a}rri, {J}{\'e}r{\^o}me and {S}lock, {D}irk {TM}}, number = {EURECOM+5121}, month = {07}, institution = {Eurecom} address = {{T}egernsee, {GERMANY}}, url = {http://www.eurecom.fr/publication/5121} }
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