6533b7d2fe1ef96bd125f5ae
RESEARCH PRODUCT
Attitude estimation from polarimetric cameras
Mojdeh RastgooOlivier MorelRalph SeulinCédric Demonceauxsubject
Cover (telecommunications)Computer sciencebusiness.industrymedia_common.quotation_subject020208 electrical & electronic engineeringPerspective (graphical)PolarimetryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologySkylightField (computer science)[SPI.AUTO]Engineering Sciences [physics]/AutomaticCatadioptric system[SPI.AUTO] Engineering Sciences [physics]/AutomaticSky0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionArtificial intelligenceMotion planningbusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingmedia_common[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingdescription
International audience; In the robotic field, navigation and path planning applications benefit from a wide range of visual systems (e.g. perspective cameras, depth cameras, catadioptric cameras, etc.). In outdoor conditions, these systems capture information in which sky regions cover a major segment of the images acquired. However, sky regions are discarded and are not considered as visual cue in vision applications. In this paper, we propose to estimate attitude of Unmanned Aerial Vehicle (UAV) from sky information using a polarimetric camera. Theoretically , we provide a framework estimating the attitude from the skylight polarized patterns. We showcase this formulation on both simulated and real-word data sets which proved the benefit of using polarimetric sensors along with other visual sensors in robotic applications.
year | journal | country | edition | language |
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2018-10-01 |