Ecole d'ingénieur et centre de recherche en Sciences du numérique

Select thy neighbors: Low complexity link selection for high precision cooperative vehicular localization

Hoang, Gia Minh; Denis, B; Härri, Jérôme; Slock, Dirk TM

VNC 2015, IEEE Vehicular Networking Conference, December 16-18, 2015, Kyoto, Japan

Dedicated Short Range Communication (DSRC) based on the IEEE 802.11p standard is expected to stimulate Cooperative Positioning (CP) for emerging cooperative safety applications. However, the trade-off includes high computational complexity and heavy communication loads while performing exhaustive particle-based information fusion. This paper addresses the problem of selecting the best subset of links to spatial neighbors for "ego" car positioning in a pure GPS-enabled Vehicular Ad hoc NETwork (VANET). Computationally efficient link selection algorithms based on Cram´er-Rao Lower Bound (CRLB) indicators, including a formulation accounting for neighbors uncertainties, are proposed to cope with various realistic operating contexts. We show that selective fusion significantly reduces the computational complexity and required network traffic with a modest increase in the position error in most cases and an acceptable degradation in the worst-case long-term GPSdenied condition. We also illustrate a typical scenario where evaluating the dispersion of neighboring uncertainties helps to decide the best selection criterion, thus leading to the concept of context-aware selective information fusion.

Document Bibtex

Titre:Select thy neighbors: Low complexity link selection for high precision cooperative vehicular localization
Département:Systèmes de Communication
Eurecom ref:4757
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Bibtex: @inproceedings{EURECOM+4757, year = {2015}, title = {{S}elect thy neighbors: {L}ow complexity link selection for high precision cooperative vehicular localization}, author = {{H}oang, {G}ia {M}inh and {D}enis, {B} and {H}{\"a}rri, {J}{\'e}r{\^o}me and {S}lock, {D}irk {TM}}, booktitle = {{VNC} 2015, {IEEE} {V}ehicular {N}etworking {C}onference, {D}ecember 16-18, 2015, {K}yoto, {J}apan}, address = {{K}yoto, {JAPON}}, month = {12}, url = {} }
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