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2022
Conference Paper
Titel
Overview of the state of the art in the digitization of drivable forestry roads
Abstract
Mobile mapping becomes a more and more important and interesting field of sensing technologies and their application scenarios. Various applications range from airborne sensing of specific environments and characteristics to ground-based applications such as multimodal 3-dimensional registration of environments in the infrastructure sector or for assistance systems. In the specific case of infrastructure systems, known fields of application range from the detection of the surface condition of roads to the digitization of entire railroad lines, including their clearance diagrams. From the technical point of view, it also combines a wide variety of sensory approaches for sensing relevant features. For example, known systems use both LiDAR and GNSS and image processing-based subsystems. This work summarizes the state-of-the-art mobile mapping technologies in the framework of road detection and digitization concerning the application of georeferenced condition monitoring. In the first part, the relevant historical development will be briefly reviewed and compared regarding technological progress furthermore, various sensing systems will be compared regarding their applications, applicability and limitations. The aim is to clearly identify shortcomings regarding the application case of road detection in the forestry sector and thus to lay the foundation for subsequent research and development work for multimodal sensing systems. It is also the starting point for upcoming work for a multimodal sensing system that is able to digitalize and characterize the structure of forestry trails. The data obtained in this way will later be used for a planning tool that will derive measures for the maintenance and repair these forest roads.
Author(s)