  Tire mounted sensors are emerging as a promising technology, capable of
providing information about important tire states. This paper presents a survey
of the state-of-the-art in the field of smart tire technology, with a special
focus on the different signal processing techniques proposed by researchers to
estimate the tire load and slip angle using tire mounted accelerometers. Next,
details about the research activities undertaken as part of this study to
develop a smart tire are presented. Finally, novel algorithms for estimating
the tire load and slip angle are presented. Experimental results demonstrate
the effectiveness of the proposed algorithms.
