Distance Measurement System Based on Binocular Stereo Vision

Liu, Zhengzhen; Chen, Tianding

doi:10.1109/jcai.2009.77

Cited by 29 publications

(21 citation statements)

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“…Another way we used to improve the speed is through converting the images fro m RGB co lor space to gray scale color space [4]. DSP processor [5] is used to measure the distance it uses A/D convertor [5]. Preprocessing detects features in both images and extract feature descriptors [4].…”

Section: Image Preprocessingmentioning

confidence: 99%

“…Preprocessing detects features in both images and extract feature descriptors [4]. In reference paper [8] algorith m transforms stereo perspective images into a virtual top-view [5]. To make image s maller in size and to deco mpose, a two dimensional discrete wavelet transform is used to down-sample [11].…”

Section: Image Preprocessingmentioning

confidence: 99%

“…The stereo images are transformed to top view the polar accumu lation function (PAF) are formed fro m the edge magnitude scanned by edge detection [8]. DSP processor uses the Area -based and feature-based used for image matching [5].…”

Section: Image Matching and Obs Tacle Detectionmentioning

confidence: 99%

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Real Time Stereo Vision System for Safe Driving Distance Measurement-a Survey

2015

IJAERD

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-The paper presents a model of stereo vision system for intelligent vehicles fo r distance measurement to avoid forward car collision. The system consists of two cameras of parallel optical axes and separated horizontally fro m each other by a small d istance and these two cameras are co mbined together in a single frame. Many approaches have been proposed for effect ive distance measurement. In this paper, we have shown the detail survey on distance measurement of vehicle and obstacle using stereo vision system.

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Section: Image Preprocessingmentioning

confidence: 99%

Section: Image Preprocessingmentioning

confidence: 99%

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Real Time Stereo Vision System for Safe Driving Distance Measurement-a Survey

2015

IJAERD

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“…Due to consistency and accuracy errors encountered with the dedicated rangefinders, an image based approach was explored. Multiple image based distance measurement methods are described in literature that use various methods to determine the distance to an object [1][2][3][4][5][6][7][8][9]. The measurement method developed for the system described in this paper is based on the laser dot projection methods described in [8] and [9].…”

Section: Distance Measurementmentioning

confidence: 99%

An automated embedded computer vision system for object measurement

Pauly

Rafla

2013

2013 IEEE 56th International Midwest Symposium on Circuits and Systems (MWSCAS)

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Automation is common in many industries. Some tasks, such as object measurement, can easily be automated. The equipment required to perform automated measurements may be cost prohibitive and may prevent widespread deployment in automated point of sale kiosks or product inspection applications. This paper focuses on the development of an optical measurement device that is inexpensive relative to existing systems. The device consists of an image sensor, several laser line projectors, and a microcontroller. The hardware design and configuration of the device is discussed along with the algorithms used to process the captured images and perform the measurement tasks. The conclusion includes a discussion of the performance of the optical measurement device.

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“…A pair of stereo cameras with well-calibrated parameters is used in stereo-vision based algorithms. If the stereo correspondence is given, the depth map can be computed using the principle of triangulation [4]. The method has great potential of applications if one can find robust solutions to the problems of stereo correspondence and on line calibration [2].…”

Section: Related Workmentioning

confidence: 99%

Single image based depth estimation for robotic applications

Sabnis

Vachhani

2011

2011 IEEE Recent Advances in Intelligent Computational Systems

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Goal of the robot vision is to exploit power of visual sensing to observe and perceive the environment and react it. Visual feedback is used to manipulate the robot among objects by estimating their depths. This paper presents a depth estimation technique based on the defocus blur associated with a camera setting. A sharp image of an object is obtained from a defocused image of the same object by applying sharpening filter. The defocused and sharp images of the object are used to calculate the spread parameter which is related to the object depth. The method calculates the constant camera parameters. The main advantage of this method is use of a single image by the robot to estimate depth. The method is independent of illumination condition and can be applied to the images with different edge orientations. Experiments on real scene images have demonstrated the feasibility of the proposed method for depth estimation. The results indicate that the depth estimation average errors are within two percent of true values. The proposed method is compared with the existing methods.Index Terms-Robot vision, depth estimation, defocus blur, sharpening filter, spread parameter.

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Distance Measurement System Based on Binocular Stereo Vision

Cited by 29 publications

References 1 publication

Real Time Stereo Vision System for Safe Driving Distance Measurement-a Survey

Real Time Stereo Vision System for Safe Driving Distance Measurement-a Survey

An automated embedded computer vision system for object measurement

Single image based depth estimation for robotic applications

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