Terrain segmentation for commercial vehicles and working machines

Raimund Edlinger, Ulrich Mitterhuber, Andreas Nüchter

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review


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 off-road environments and in the field of "automated maintenance of slopes", which offers potential for solving numerous socioeconomic 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.

Original languageEnglish
Title of host publicationElectronic Imaging
Place of PublicationIS&T 7003 Kilworth Lane, Springfield, VA 22151 USA
PublisherSociety for Imaging Science and Technology
Number of pages7
Publication statusPublished - 16 Jan 2023

Publication series

NameIS and T International Symposium on Electronic Imaging Science and Technology


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