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Obstacle Detection for Small Autonomous Aircraft Using Sky Segmentation

10 years 3 months ago
Obstacle Detection for Small Autonomous Aircraft Using Sky Segmentation
– A vision-based obstacle detection system for small unmanned aerial vehicles (UAVs) is presented. Obstacles are detected by segmenting the image into sky and non-sky regions and treating the non-sky regions as obstacles. The feasibility of this approach is demonstrated by using the vision output to steer a small unmanned aircraft towards an obstacle. The experiment was first verified in a hardware in the loop (HIL) simulation and then successfully implemented on a small modified remote control plane using a large inflatable balloon as the obstacle.
Tim G. McGee, Raja Sengupta, J. Karl Hedrick
Added 25 Jun 2010
Updated 25 Jun 2010
Type Conference
Year 2005
Where ICRA
Authors Tim G. McGee, Raja Sengupta, J. Karl Hedrick
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