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RESEARCH PRODUCT
A Geometrical Approach for Vision Based Attitude and Altitude Estimation for UAVs in Dark Environments
Peter SturmPascal VasseurAshutosh NatrajCédric Demonceauxsubject
0209 industrial biotechnologyGround truthbusiness.industryPayloadComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Mobile robot02 engineering and technologyGPS signals[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Attitude controlComputer Science::Robotics020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringGlobal Positioning System020201 artificial intelligence & image processingComputer visionArtificial intelligenceProjection (set theory)businessStructured lightGround planedescription
International audience; This paper presents a single camera and laser system dedicated to the realtime estimation of attitude and altitude for unmanned aerial vehicles (UAV) under low illumination conditions to dark environments. The fisheye camera allows to cover a large field of view (FOV). The approach, close to structured light systems, uses the geometrical information obtained by the projection of a laser circle onto the ground plane and perceived by the camera. We propose some experiments based on simulated data and real sequences. The results show good agreement with the ground truth values from the commercial sensors in terms of its accuracy and correctness. The results also prove its suitability for autonomous take-off and landing as well as for the case of low altitude manoeuvre in dark, GPS signal deficient unknown environments with no prebuilt map. It also provides room for additional payload to be used for different applications due to it being inexpensive and use of light weight micro-camera and laser system.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2012-10-07 |