Abstract
The use of computer vision in autonomous robotics has been studied for decades. Recently, applications such as autonomous vision-based vehicle navigation [1], 3-D localization and mapping [6,4,3] and object recognition [5] have gained popularity due to the combination of increased processing power, new algorithms with real-time performance and the advancements in high quality, low-cost digital cameras. These factors enable autonomous robots to perform complex, realtime, tasks using visual sensors.
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Sadeh-Or, E., Kaminka, G.A. (2012). AnySURF: Flexible Local Features Computation. In: Dechesne, F., Hattori, H., ter Mors, A., Such, J.M., Weyns, D., Dignum, F. (eds) Advanced Agent Technology. AAMAS 2011. Lecture Notes in Computer Science(), vol 7068. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27216-5_17
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DOI: https://doi.org/10.1007/978-3-642-27216-5_17
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