Robotic Navigation ROBOTIC LOCALIZATION BASED ON VISUAL ANALYSIS Pedro Porto Buarque de Gusmão UNINFO – Milan 06/10/2014 Robotic Navigation - Localization Why? The possibilities… • Autonomous Driving – Precision in cm rather than m. • Precise localization also for pedestrians. • Intelligent Cleaning – Never miss a spot Why MPEG CDVS? Global Descriptors – Offers an a first, overall estimate of robot’s position. Local Descriptors – Offers the necessary precision for localization. Compression – Allows for efficient transmission in distributed systems. Localization Process Pavement @ t=n pt_grey_image cdvs_extractor Pavement @ t=n-τ Workstation Robot CDVS Descriptors cdvs_compare(n,n-τ) Questions? Thanks This work is licensed under the Creative Commons Attribution- NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/