| dc.description.abstract | The current work, discusses the various experiences,
lessons learned and developed novelties, regarding the lane
detection and lane following features of miniature autonomous
vehicles. Particularly, we outline the work that was conducted,
during our team’s participation in Carolo Cup 2016, which is
an international competition on autonomous vehicle, held in
Braunschweig, Germany. An overview of selected works from the
relevant literature is presented, in order to illustrate the various
techniques that are commonly adopted in order to implement
the lane detection and following functions. The findings, in this
regard, constitute of a set of the mostly referenced methods.
Additionally, our adopted approach on the matter is extensively
elucidated. The different improvements that were introduced to
the existing algorithm, are quantified and visualized through an
evaluation tool that was developed for this purpose. We conclude
that the use of the said tool for analysis, increases the quality of
the final product, which is of significant importance in embedded
system, due to the fusion of software and hardware elements. | sv |
