. . "We present a fast and precise vision-based software intended for multiple robot localization. The core component of the proposed localization system is an efficient method for black and white circular pattern detection. The method is robust to variable lighting conditions, achieves sub-pixel precision, and its computational complexity is independent of the processed image size. With off-the-shelf computational equipment and low-cost camera, its core algorithm is able to process hundreds of images per second while tracking hundreds of objects with millimeter precision. We propose a mathematical model of the method that allows to calculate its precision, area of coverage, and processing speed from the camera\u2019s intrinsic parameters and hardware\u2019s processing capacity. The correctness of the presented model and performance of the algorithm in real-world conditions are verified in several experiments. Apart from the method description, we also publish its source code; so, it can be used as an enabling technology for various mobile robotics problems." . . "RIV/68407700:21230/13:00210312!RIV14-GA0-21230___" . "External Localization System for Mobile Robotics" . . . "[8C48FE265EE6]" . "P\u0159eu\u010Dil, Libor" . "P(GP13-18316P)" . . . "Nitsche, M." . "2"^^ . "Duckett, Tom" . "Faigl, Jan" . "74401" . . . "Mejail, M." . "localization; mobile robots; image processing"@en . . . . "RIV/68407700:21230/13:00210312" . . "Krajn\u00EDk, Tom\u00E1\u0161" . "6"^^ . "We present a fast and precise vision-based software intended for multiple robot localization. The core component of the proposed localization system is an efficient method for black and white circular pattern detection. The method is robust to variable lighting conditions, achieves sub-pixel precision, and its computational complexity is independent of the processed image size. With off-the-shelf computational equipment and low-cost camera, its core algorithm is able to process hundreds of images per second while tracking hundreds of objects with millimeter precision. We propose a mathematical model of the method that allows to calculate its precision, area of coverage, and processing speed from the camera\u2019s intrinsic parameters and hardware\u2019s processing capacity. The correctness of the presented model and performance of the algorithm in real-world conditions are verified in several experiments. Apart from the method description, we also publish its source code; so, it can be used as an enabling technology for various mobile robotics problems."@en . . . "External Localization System for Mobile Robotics"@en . "21230" . . "External Localization System for Mobile Robotics"@en . . "External Localization System for Mobile Robotics" .