Unsupervised Perception Model for UAVs Landing Target Detection and Recognition
| Autor: | Eva Dokladalova, Petr Dokládal, Eric Bazan |
|---|---|
| Přispěvatelé: | Centre de Morphologie Mathématique (CMM), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Laboratoire d'Informatique Gaspard-Monge (LIGM), Centre National de la Recherche Scientifique (CNRS)-Fédération de Recherche Bézout-ESIEE Paris-École des Ponts ParisTech (ENPC)-Université Paris-Est Marne-la-Vallée (UPEM), This research is partially supported by the Mexican National Council for Science and Technology (CONACYT)., Blanc-Talon, J., Helbert, D., Philips, W., Popescu, Scheunders, P., Mines Paris - PSL (École nationale supérieure des mines de Paris), Université Paris-Est Marne-la-Vallée (UPEM)-École des Ponts ParisTech (ENPC)-ESIEE Paris-Fédération de Recherche Bézout-Centre National de la Recherche Scientifique (CNRS), This research is partially supported by the Mexican National Council for Scienceand Technology (CONACYT)., Bazan, Eric, Blanc-Talon, J., Helbert, D., Philips, W., Popescu, D., Scheunders, P. |
| Předmět: |
0209 industrial biotechnology
Computer science UAV ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Context (language use) 02 engineering and technology Similarity measure [SPI.AUTO]Engineering Sciences [physics]/Automatic [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] 020901 industrial engineering & automation 0202 electrical engineering electronic engineering information engineering Computer vision landing target [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing precision landing business.industry Perspective (graphical) [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] object detection Object detection [INFO.INFO-ES] Computer Science [cs]/Embedded Systems [SPI.AUTO] Engineering Sciences [physics]/Automatic perception model Gestalt psychology 020201 artificial intelligence & image processing [INFO.INFO-ES]Computer Science [cs]/Embedded Systems Noise (video) Artificial intelligence Error detection and correction business Hamming code [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing |
| Zdroj: | HAL Advanced Concepts for Intelligent Vision Systems Blanc-Talon, J., Helbert, D., Philips, W., Popescu, D., Scheunders, P. Advanced Concepts for Intelligent Vision Systems, Springer, pp.233-244, 2018, 978-3-030-01449-0 Advanced Concepts for Intelligent Vision Systems ISBN: 9783030014483 ACIVS |
| Popis: | International audience; Today, unmanned aerial vehicles (UAV) play an interesting role in the so-called Industry 4.0. One of many problems studied by companies and research groups are the sensing of the environment intelligently. In this context, we tackle the problem of autonomous landing, and more precisely, the robust detection and recognition of a unique landing target in an outdoor environment. The challenge is how to deal with images under non-controlled light conditions impacted by shadows,change of scale, perspective, vibrations, noise, blur, among others. In this paper, we introduce a robust unsupervised model allowing to detect and recognize a target, in a perceptual-inspired manner, using the Gestalt principles of non-accidentalness and grouping. Our model extracts the landing target contours as outliers using the RX anomaly detector and computing proximity and a similarity measure. Finally, we show the use of error correction Hamming code to reduce the recognition errors. |
| Databáze: | OpenAIRE |
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