Terrain segmentation for commercial vehicles and working machines
Proceedings of the IS&T International Symposium on Electronic Imaging Science and Technology, page 324-1--324-7. San Francisco, CA, USA, Society for Imaging Science and Technology, (January 2023)DOI: 10.2352/EI.2023.35.5.IRIACV-324
Abstract
In the field of automated working machines, not only
is the general trend towards automation in industry,
transport and logistics reflected, but new areas of
application and markets are also constantly
emerging. In this paper we present a pipeline for
terrain classification in offroad environments and
in the field of äutomated maintenance of slopes",
which offers potential for solving numerous
socio-economic needs. Working tasks can be made more
efficient, more ergonomic and, in particular, much
safer, because mature, automated vehicles are
used. At present, however, such tasks can only be
carried out remotely or semi-automatically, under
the supervision of a trained specialist. This only
partially facilitates the work. The real benefit
only comes when the supervising person is released
from this task and is able to pursue other work. In
addition to the development of a safe integrated
system and sensor concept for use in public spaces
as a basic prerequisite for vehicles licensed in the
future, increased situational awareness of mobile
systems through machine learning in order to
increase their efficiency and flexibility is also of
great importance.