An application of parameter extraction for AGV navigation based on computer vision

Kang, Jian; Lee, Jeisung; Eum, Hyukmin; Hyun, Chang‐Ho; Park, Mignon

doi:10.1109/urai.2013.6677408

Cited by 11 publications

(8 citation statements)

References 3 publications

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“…Computer vision techniques have been mainly applied in the navigation module of AGV to provide vision-related information for the AGV control [147], such as obstacle detection [148], and path planning in transportation tasks [149]. Navigation systems in AGV can be grouped into locally guided navigation and remotely guided navigation systems.…”

Section: F Transportationmentioning

confidence: 99%

Computer Vision Techniques in Manufacturing

Zhou¹,

Zhang²,

Konz³

2022

Preprint

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Computer vision techniques have played an important role in promoting the informatization, digitization and intelligence of industrial manufacturing systems. Considering the rapid development of computer vision techniques, we present a comprehensive review of the state-of-the-art of these techniques and their applications in manufacturing industries. We survey the most common methods, including feature detection, recognition, segmentation and 3D modeling. A system framework of computer vision in the manufacturing environment is proposed, consisting of a lighting module, a manufacturing system, a sensing module, computer vision algorithms, a decision-making module, and an actuator. Applications of computer vision to different stages of the entire product life cycle are then explored, including product design, modeling and simulation, planning and scheduling, the production process, inspection and quality control, assembly, transportation, and disassembly. Challenges include algorithm implementation, data pre-processing, data labeling, and benchmarks. Future directions include building benchmarks, developing methods for non-annotated data processing, developing effective data pre-processing mechanisms, customizing computer vision models, and opportunities aroused by 5G.

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Section: F Transportationmentioning

confidence: 99%

Computer Vision Techniques in Manufacturing

Zhou¹,

Zhang²,

Konz³

2022

Preprint

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“…It is possible to mention other possibilities of the camera and line-following approach use, such as the work of Kang et al [19] that uses the camera to recognize patterns that control the AGV, for example, direction arrows, and stop signs; Gumus, Topaloglu, and Ozcelik [20] that propose line-following robot application in public transportation using industrial sensors; and Mautz and Tilch [21] that provide a survey of optical indoor positioning approaches. The authors claim that “an improved performance of optical systems has triggered image-based positioning methods to become an attractive alternative for applications in industrial metrology and for robot- and pedestrian navigation”; and Zhou and Liu [22] that use QR codes for the AGV navigation system “to reduce the cost and improve the positioning accuracy”.…”

Section: Related Workmentioning

confidence: 99%

A Qualitative Analysis of a USB Camera for AGV Control

Oliveira

Reis

Morandin

2019

Sensors

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The increasing use of Automated Guided Vehicles (AGV) in the industry points to a search for better techniques and technologies to adapt to market requirements. Proper position control and movement give an AGV greater movement accuracy and greater lateral oscillations stability and vibration. It leads to smaller corridors and leaner plants, to more relaxed shipment devices, and to greater safety in the transport of fragile loads, for instance. AGV control techniques are not new, but new sensors’ applications are possible, such as USB cameras. In this sense, it is necessary to ensure the sensor is adequate to control system requirements. This work addresses AGVs driven by passive floor demarcations. It presents a qualitative analysis of a USB camera as sensors for AGV control, not yet a common industrial application. We performed the experiments with a small AGV prototype on an eight-shaped lane, varying both camera parameters and AGV parameters, such as linear speed. The AGV uses a USB camera with different image processing settings—different morphological filters structuring elements shapes and sizes, and three different image resolutions—to analyze the factors that affect line detection and control processing. This paper’s main contribution is a qualitative and quantitative analysis for the different sensor configurations. In addition, it discusses the influence sources on camera image as a position sensor. Furthermore, the experiments confirm sensor pertinence for the proposed control system.

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“…En (Kang 2013) [31] se realiza una aplicación de un método de visión por computadora para adquirir información básica y así controlar un grupo de AGV's. En primer lugar, se diseñan unos marcadores con significados especiales (como "Ir recto", "Giro a la izquierda", "Giro a la derecha" y "Parar").…”

Section: Identificación De Instalaciones Industriales Y Planificaciónunclassified

“…Finalmente, se envía la información al AGV controlando los movimientos del mismo. Se debe tener en cuenta que la cámara debe tener una buena resolución y adicionalmente la intensidad de luz juega un papel fundamental en el reconocimiento de los marcadores, debido a que en un lugar poco iluminado se puede dar errores de navegación del vehículo (Kang 2013) [31].…”

Section: Identificación De Instalaciones Industriales Y Planificaciónunclassified

Vehículos de guiado autónomo (AGV) en aplicaciones industriales: una revisión

Moreno

Ceballos

2019

Rev. politec.

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Se presenta una revisión del estado del arte de vehículos de guiado autónomo (AGV por sus siglas en inglés: Automated Guided Vehicle) para el transporte de objetos y materia prima en aplicaciones industriales. La revisión de literatura hace énfasis en varios aspectos como la identificación del lugar, aplicación en diferentes entornos, control del vehículo y descripción de los sistemas de software usados para la programación de los robots móviles, de acuerdo a los requisitos o necesidades a resolver. Adicionalmente, se hace un análisis, con base a las referencias citadas, del aporte que hace este tipo de tecnologías no solo a la industria, sino también a otros tipos de modelo de negocio, como lo son el área de la salud, los sistemas de transporte urbano, entre otros.

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An application of parameter extraction for AGV navigation based on computer vision

Cited by 11 publications

References 3 publications

Computer Vision Techniques in Manufacturing

Computer Vision Techniques in Manufacturing

A Qualitative Analysis of a USB Camera for AGV Control

Vehículos de guiado autónomo (AGV) en aplicaciones industriales: una revisión

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