Wheeled mobile robot in structured environment

Frankovský, Peter; Pástor, Miroslav; Dominik, Lukas; Kicko, Michal; Trebuňa, Peter; Hroncová, Darina; Kelemen, Michal

doi:10.1109/elektro.2018.8398375

Cited by 6 publications

(3 citation statements)

References 7 publications

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“…The application of QR Codes and their optical recognition has wide use in identification, tracing or monitoring of items in production [30], storing and distribution processes, to aid visually impaired and blind people, to let autonomous robots [31] to acquire context-relevant information, to support authorization during log-in process, to support electronic payments, to increase industrial production surety factor [32], etc.…”

Section: Discussionmentioning

confidence: 99%

Recognition of Perspective Distorted QR Codes with a Partially Damaged Finder Pattern in Real Scene Images

2020

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QR (Quick Response) codes are one of the most famous types of two-dimensional (2D) matrix barcodes, which are the descendants of well-known 1D barcodes. The mobile robots which move in certain operational space can use information and landmarks from environment for navigation and such information may be provided by QR Codes. We have proposed algorithm, which localizes a QR Code in an image in a few sequential steps. We start with image binarization, then we continue with QR Code localization, where we utilize characteristic Finder Patterns, which are located in three corners of a QR Code, and finally we identify perspective distortion. The presented algorithm is able to deal with a damaged Finder Pattern, works well for low-resolution images and is computationally efficient.

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Section: Discussionmentioning

confidence: 99%

Recognition of Perspective Distorted QR Codes with a Partially Damaged Finder Pattern in Real Scene Images

2020

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“…Four position and 90° rotation angle is use of this table. In each position is carried out another operation (Saravanan et al, 2015), (Patil et al, 2018), (Frankovský, P. et al, 2018). Supply hammer on the table and ensure its position with the index pins is carried out in the first, the input position.…”

Section: Design Automation Systemmentioning

confidence: 99%

Design of Construction and Controlling of Automation Technics in Order to Improve Skills of Students

Hrušková

Matúšová

Václav

2021

Multidisciplinary Aspects of Production Engineering

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The article summarizes the experience, skills of the students of technical subjects teaching methodologies using a number of software products. Solve specific assigned tasks described in this paper. Task is about the problems of automation and mechanization in the industry. That helps to improve the skills of praxis, through the design of construction and of controlling. Specifically it focuses on introducing automation in the wood industry. Article describes the design of the automation process for marking wooden hammers. Similar problems are solved by students in Computer Aided (CA) systems. The control process of automation is realized through the electro-pneumatic circuits. These circuits are creating in software FluidSIM 4 that is used as a simulation tool. FluidSIM 4 is comprehensive software for creation, simulation, instruction and study of electro-pneumatic, electro-hydraulic and digital circuits.

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“…QR (quick response) Code was invented in 1994 by Denso Wave for the automotive industry in Japan, but nowadays has much wider usage. They are widely used in segments such as manufacturing, logistics, sales, media, advertising, tourism, e-commerce, identification, and authentication [ 1 , 2 ]. The QR Code often contains additional information about the product, the object or the place where it is located.…”

Section: Introductionmentioning

confidence: 99%

Identification of QR Code Perspective Distortion Based on Edge Directions and Edge Projections Analysis

2020

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QR (quick response) Codes are one of the most popular types of two-dimensional (2D) matrix codes currently used in a wide variety of fields. Two-dimensional matrix codes, compared to 1D bar codes, can encode significantly more data in the same area. We have compared algorithms capable of localizing multiple QR Codes in an image using typical finder patterns, which are present in three corners of a QR Code. Finally, we present a novel approach to identify perspective distortion by analyzing the direction of horizontal and vertical edges and by maximizing the standard deviation of horizontal and vertical projections of these edges. This algorithm is computationally efficient, works well for low-resolution images, and is also suited to real-time processing.

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Wheeled mobile robot in structured environment

Cited by 6 publications

References 7 publications

Recognition of Perspective Distorted QR Codes with a Partially Damaged Finder Pattern in Real Scene Images

Recognition of Perspective Distorted QR Codes with a Partially Damaged Finder Pattern in Real Scene Images

Design of Construction and Controlling of Automation Technics in Order to Improve Skills of Students

Identification of QR Code Perspective Distortion Based on Edge Directions and Edge Projections Analysis

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