Master data

Forest Inventorying with Micro Aerial vehicles for autonomous Tree-parameter Estimation
Description:
We will pursue a concentrated research effort to enable research platform prototype consisting of one unmanned aerial vehicle (UAV) navigating autonomously through managed mature forest providing sufficiently dense visual data for accurate 3D reconstruction and subsequent autonomous extraction of ecological data from objects of interest. The ecological data includes the estimation of the position of the trees, the diameter as breast height, the stem shape, and coverage of herb layer. The project will yield new innovative algorithms for GPS independent, vision based autonomous UAV navigation, including self-healing state estimation, vision based obstacle avoidance, and adaptive path planning. In addition, novel 3D reconstruction algorithms will enable on-site extraction of ecological forest parameters in unprecedented precision and efficiency in both time and cost.

Keywords: Forest inventorying, 3D reconstruction, path planning, state estimation, UAV navigation
Short title: Forest-IMate
Period: 01.09.2016 - 31.03.2020
Contact e-mail: stephan.weiss@aau.at
Homepage: https://forest.aau.at

Categorisation

Project type Research funding (on request / by call for proposals)
Funding type §27
Research type
  • Applied research
Subject areas
  • 202037 - Signal processing
  • 102003 - Image processing
  • 202035 - Robotics
Research Cluster
  • Self-organizing systems
Gender aspects Genderrelevance not selected
Project focus
  • Science to Science (Quality indicator: n.a.)
Classification raster of the assigned organisational units:
working groups No working group selected

Cooperations

No partner organisations selected