Stereo vision based navigation for automated vehicles in industry

Spampinato, Giacomo; Lidholm, Jörgen; Asplund, Lars; Ekstrand, Fredrik

doi:10.1109/etfa.2009.5347238

Cited by 7 publications

(4 citation statements)

References 3 publications

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“…Taking advantage of the computer's data processing capabilities, the machine vision algorithm is able to perceive and process images faster and more accurately than the human eye in most cases, which is conducive to image post-processing such as feature point extraction and so on. Based on these advantages, the development of binocular stereo vision technology has attracted the attention of academia and industry [38][39]. It is suitable for a wide range of applications due to its noncontact measurement and optical-based characteristics.…”

Section: D Reconstruction Based On Bsvmentioning

confidence: 99%

A single camera unit-based three-dimensional surface imaging technique

Wang

Guo

Kim

et al. 2023

Int J Adv Manuf Technol

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The main objective of this study is to develop a single-camera unit-based three-dimensional surface imaging technique that could be used to reduce the disparity error in three-dimensional (3D) image reconstruction and simplify the calibration process of the imaging system. The current advanced stereoscopic 3D imaging system uses a pair of imaging devices (e.g., complementary metal-oxide semiconductor (CMOS) or charge-coupled device (CCD)), imaging lenses, and other accessories (e.g., light sources, polarizing filters) and diffusers.) To reconstruct the 3D scene, the system needs to calibrate the camera and compute a disparity map. However, in most cases in the industry, a pair of imaging devices is not ideally identical, so it is a necessary step to finely adjust and compensate for camera orientation, lens focal length, and intrinsic parameters for each camera.More importantly, conventional stereoscopic systems may respond differently to incident light reflected from the target surface. It is possible for the pixel information in the left and right images to be slightly different. This results in an increase in disparity error, even though the stereovision system is calibrated and compensated for rotation and vertical offsets between two cameras. This thesis aims to solve the aforementioned challenges by proposing a new stereo vision scheme based on only one camera to obtain target 3D data by 3D image reconstruction of two images obtained from two different camera positions.iii DEDICATION This thesis is dedicated to my family, who always supports me and prays for my success.

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Section: D Reconstruction Based On Bsvmentioning

confidence: 99%

A single camera unit-based three-dimensional surface imaging technique

Wang

Guo

Kim

et al. 2023

Int J Adv Manuf Technol

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“…On these lines, some pioneering works may be found in the literature [5], where 3D vision based localization algorithm are validated in simplified simulated frameworks.…”

Section: Introductionmentioning

confidence: 99%

Experimental comparison of 3D vision sensors for mobile robot localization for industrial application: Stereo-camera and RGB-D sensor

Levratti

Venturi

Amplo

et al. 2012

2012 12th International Conference on Control Automation Robotics &Amp; Vision (ICARCV)

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While RGB-D sensors are becoming more and more popular in mobile robotics laboratories, they are usually not yet adopted for industrial applications. In fact, in this field, depth measurements are generally acquired by means of laser scanners and, when visual information is needed, by means of stereocameras. The aim of this paper is to perform an experimental validation, to compare the performance of a stereo-camera and an RGB-D sensor, in a specific application: mobile robot localization for industrial applications. Experiments are performed exploiting artificial landmarks (defined by a self-similar pattern), placed in known positions in the environment.

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“…Now, if we restrict the navigational area to a smaller environment, the idea of indoor-navigation would come up, where industry and production environments are also potential fields of application. Spampinato et al (2009) "proposes a stereo-vision-based localization and mapping strategy for vehicular navigation within industrial environments" by the use of natural landmarks, which illustrates the current industrial assignment of autonomous vehicles with implemented navigation solutions, following a route from a start-to an endpoint. The concept of an indoor-navigation can also be found in consumer locations, where the layout plan can be complex and comprehensive, leading to orientation and navigation problems.…”

Section: Current Implementationsmentioning

confidence: 99%

PRIVATE GRAPHS – ACCESS RIGHTS ON GRAPHS FOR SEAMLESS NAVIGATION

Dorner¹,

Hau²,

Pagany³

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:After the success of GNSS (Global Navigational Satellite Systems) and navigation services for public streets, indoor seems to be the next big development in navigational services, relying on RTLS -Real Time Locating Services (e.g. WIFI) and allowing seamless navigation. In contrast to navigation and routing services on public streets, seamless navigation will cause an additional challenge: how to make routing data accessible to defined users or restrict access rights for defined areas or only to parts of the graph to a defined user group? The paper will present case studies and data from literature, where seamless and especially indoor navigation solutions are presented (hospitals, industrial complexes, building sites), but the problem of restricted access rights was only touched from a real world, but not a technical perspective. The analysis of case studies will show, that the objective of navigation and the different target groups for navigation solutions will demand well defined access rights and require solutions, how to make only parts of a graph to a user or application available to solve a navigational task. The paper will therefore introduce the concept of private graphs, which is defined as a graph for navigational purposes covering the street, road or floor network of an area behind a public street and suggest different approaches how to make graph data for navigational purposes available considering access rights and data protection, privacy and security issues as well.

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Stereo vision based navigation for automated vehicles in industry

Cited by 7 publications

References 3 publications

A single camera unit-based three-dimensional surface imaging technique

A single camera unit-based three-dimensional surface imaging technique

Experimental comparison of 3D vision sensors for mobile robot localization for industrial application: Stereo-camera and RGB-D sensor

PRIVATE GRAPHS – ACCESS RIGHTS ON GRAPHS FOR SEAMLESS NAVIGATION

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Stereo vision based navigation for automated vehicles in industry

Cited by 7 publications

References 3 publications

A single camera unit-based three-dimensional surface imaging technique

A single camera unit-based three-dimensional surface imaging technique

Experimental comparison of 3D vision sensors for mobile robot localization for industrial application: Stereo-camera and RGB-D sensor

PRIVATE GRAPHS &ndash; ACCESS RIGHTS ON GRAPHS FOR SEAMLESS NAVIGATION

Contact Info

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PRIVATE GRAPHS – ACCESS RIGHTS ON GRAPHS FOR SEAMLESS NAVIGATION