Special Issue on Visual Sensors

Reinoso, Óscar; Payá, Luis

doi:10.3390/s20030910

Cited by 9 publications

(2 citation statements)

References 36 publications

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“…In the field of perception, vision sensors have become a widespread tool to get information from the environment [2] due to several factors: the big amount of information they can capture with a relatively low cost; the availability of the data they provide (unlike GPS, whose signal may not be available temporarily, indoors or in narrow outdoor areas); the variety of configurations that they permit, from single-view cameras to binocular or trinocular systems; and the possibility of carrying out other high-level tasks such as people detection. Among the available configurations, catadioptric vision systems stand out thanks to their wide field of view, up to 360 deg around the camera axis [3].…”

Section: Introductionmentioning

confidence: 99%

The Role of Global Appearance of Omnidirectional Images in Relative Distance and Orientation Retrieval

Román

Payá

Peidró

et al. 2021

Sensors

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Over the last few years, mobile robotics has experienced a great development thanks to the wide variety of problems that can be solved with this technology. An autonomous mobile robot must be able to operate in a priori unknown environments, planning its trajectory and navigating to the required target points. With this aim, it is crucial solving the mapping and localization problems with accuracy and acceptable computational cost. The use of omnidirectional vision systems has emerged as a robust choice thanks to the big quantity of information they can extract from the environment. The images must be processed to obtain relevant information that permits solving robustly the mapping and localization problems. The classical frameworks to address this problem are based on the extraction, description and tracking of local features or landmarks. However, more recently, a new family of methods has emerged as a robust alternative in mobile robotics. It consists of describing each image as a whole, what leads to conceptually simpler algorithms. While methods based on local features have been extensively studied and compared in the literature, those based on global appearance still merit a deep study to uncover their performance. In this work, a comparative evaluation of six global-appearance description techniques in localization tasks is carried out, both in terms of accuracy and computational cost. Some sets of images captured in a real environment are used with this aim, including some typical phenomena such as changes in lighting conditions, visual aliasing, partial occlusions and noise.

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Section: Introductionmentioning

confidence: 99%

The Role of Global Appearance of Omnidirectional Images in Relative Distance and Orientation Retrieval

Román

Payá

Peidró

et al. 2021

Sensors

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“…However, the nature of camera-based solutions allows for more innovative approaches, freedom in feature selection, and thus more flexible applications. Camera is often used in sensor fusion estimators to improve localization results as in References [ 14 , 15 ]. In Reference [ 16 ] the term of a visual encoder is presented, where authors describe the idea of robustly and precisely measuring the rotation angle of an object by tracking an RGB color pattern aligned on the rotor and tracked via high-speed RGB vision system.…”

Section: Introductionmentioning

confidence: 99%

Fast and Reliable Alternative to Encoder-Based Measurements of Multiple 2-DOF Rotary-Linear Transformable Objects Using a Network of Image Sensors with Application to Table Football

Bošnak

Klančar

2020

Sensors

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Simultaneous determination of linear and angular positions of rotating objects is a challenging task for traditional sensor applications and a very limited set of solutions is available. The paper presents a novel approach of replacing a set of traditional linear and rotational sensors by a small set of image sensors. While the camera’s angle of view can be a limiting factor in the tracking of multiple objects, the presented approach allows for a network of image sensors to extend the covered area. Furthermore, rich image data allows for the application of different data processing algorithms to effectively and accurately determine the object’s position. The proposed solution thus provides a set of smart visual encoders emulated by an image sensor or a network of image sensors for more demanding spatially distributed tasks. As a proof of concept, we present the results of the experiment in the target application, where a 1.6 MP image sensor was used to obtain sub-degree angular resolution at 600 rpm and thus exceeding the design parameters and requirements. The solution allows for a compact, cost-effective, and robust integration into the final product.

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Evaluating the Robustness of New Holistic Description Methods in Position Estimation of Mobile Robots

Román

Payá

Cebollada

et al. 2022

Informatics in Control, Automation and Robotics

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Special Issue on Visual Sensors

Abstract: Visual sensors have characteristics that make them interesting as sources of information for any process or system [...]

Cited by 9 publications

References 36 publications

The Role of Global Appearance of Omnidirectional Images in Relative Distance and Orientation Retrieval

The Role of Global Appearance of Omnidirectional Images in Relative Distance and Orientation Retrieval

Fast and Reliable Alternative to Encoder-Based Measurements of Multiple 2-DOF Rotary-Linear Transformable Objects Using a Network of Image Sensors with Application to Table Football

Evaluating the Robustness of New Holistic Description Methods in Position Estimation of Mobile Robots

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