  Reliable estimation (or measurement) of vehicle states has always been an
active topic of research in the automotive industry and academia. Among the
vehicle states, vehicle speed has a priority due to its critical importance in
traction and stability control. Moreover, the emergence of new generation of
communication technologies has brought a new avenue to traditional studies on
vehicle estimation and control. To this end, this paper introduces a set of
distributed function calculation algorithms for vehicle networks, robust to
communication failures. The introduced algorithms enable each vehicle to gather
information from other vehicles in the network in a distributed manner. A
procedure to use such a bank of information for a single vehicle to diagnose
and correct a possible fault in its own speed estimation/measurement is
discussed. The functionality and performance of the proposed algorithms are
verified via illustrative examples and simulation results.
