RemoteNav - Remote Sensing Based Navigation in Remote Areas

Project: Research project

Description

Routing for vehicles and even pedestrians is widely used especially for urban areas in many
navigation applications. However, many user groups like rescue teams or hunters are
moving over rough terrain, where routing based on road graph data cannot longer be
performed. RemoteNav will close this gap by developing a navigation system for remote
areas based on remote sensing data. Remote sensing is the only reliable source, which
provides updated and wall-to-wall information on the parameters and indicators describing
the accessibility of rough terrain in remote areas. This is particularly true for alpine regions
where only little spatial information on the features of interest exists. Satellite remote sensing
represents an ideal instrument for objective and standardized data acquisition especially of
data related to terrain and vegetation structures.
In order to be able to effectively plan ideal routes and to operate in rough terrain, primary
knowledge on the spatial information of terrain and vegetation barriers has to be available.
These parameters to be integrated into the navigation system will be selected according to
their relevance regarding the accessibility of the terrain. The parameters to be examined
include forest status, open areas, hydrological features, constructions and other man induced
features, as well as road networks. This essential information will be compiled by means of
remote sensing data, LIDAR data and existing map information. Harmonization of these
indicators and parameters will ensure that the navigation system is based on a common and
standardized data base. This will guarantee the search and rescue teams or hunters to rely
on the navigation systems independent of the region in which they are operating. Based on
the harmonized GIS database containing the spatial distribution of all barrier parameters
several cost functions have to be developed describing the degree of constrains regarding
the accessibility of the terrain. For this purpose the outdoor experiences of selected
specialists representing the two user communities will be taken into consideration in order to
transform the harmonized vegetation and terrain features into different categories of
accessibility.
Last but not least, the routing algorithm for remote areas has to be developed. Pre-condition
for a routing algorithm is the existence of a weighted network, based on the time needed to
pass a certain segment within a road/path network in order to get the fastest route from one
node to another one. The routing algorithm calculates the optimal routes taking into account
the restrictions or preferences derived from Earth observation (EO) data. For the calculation
Funding Agency
Austrian Research Promotion Agency (FFG)
5/56
of new routes, the origin and the destination point are defined. For this purpose, network data
is required in order to calculate the optimal route using an effective and adapted routing
algorithm. The implemented algorithm will be integrated to existing Android smartphone
applications to support user groups during their operations in rough terrain.
StatusFinished
Effective start/end date1/01/1531/12/16