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.
Type:
Poster / Demo
City:
Tegernsee
Date:
2015-07-06
Department:
Systèmes de Communication
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 :
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