Improvement of Distance Measurement Algorithm on Stereo Vision System(SVS)

Baek, Hai-Sung; Choi, Jin Hyun; Lee, Byung-Soo

doi:10.1109/icut.2010.5678176

Cited by 10 publications

(8 citation statements)

References 5 publications

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“…A deep neural network model has been proposed [5] to simultaneously predict the semantic information and depth image to improve the traditional stereo matching algorithm. In other research [6], the overlapping area is measured by two cameras when the object was located outside the optical axes to measure the object distance. In this work, they also employed the matching method to understand each image's angle and verified it in simulation, and in [7], they utilized a frequency domain from the captured image and implemented it on a stereo camera to enhance the object distance estimation.…”

Section: Introductionmentioning

confidence: 99%

Improving The Stereo Distance Measurement Accuracy on The Barelang-FC Humanoid Robot

Winarti¹,

Susanto²,

Analia³

et al. 2023

Proceedings of the 5th International Conference on Applied Engineering, ICAE 2022, 5 October 2022, Batam, Indonesia

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Distance estimation is essential in developing humanoid soccer robots. Accurate distance measurement can minimize an error while the robot is maneuvering, chasing a ball, or passing the ball to the proponent robots. Currently, stereo vision and feature matching is the conventional method to estimate the distance. Distance is estimated based on the disparity value between detected features on the stereo image. However, the matching process needs high cost computationally. Furthermore, the estimated distance based on feature matching is less accurate. Therefore, in this work, the distance estimation based on the object coordinates detected using the YOLOv3 has been proposed. Additionally, a linear regression algorithm added to improve the measurement accuracy. Several experiments have been done to verify this proposed method in realtime applications. As a result, our proposed method successfully improves the distance measurement accuracy from 86.58% to 98.01%.

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Section: Introductionmentioning

confidence: 99%

Improving The Stereo Distance Measurement Accuracy on The Barelang-FC Humanoid Robot

Winarti¹,

Susanto²,

Analia³

et al. 2023

Proceedings of the 5th International Conference on Applied Engineering, ICAE 2022, 5 October 2022, Batam, Indonesia

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“…Binocular visual ranging imitates the perceiving principle of human which uses binocular parallax to perceive the distance. It uses two cameras to take the same scene from different positions, and then measure the distance from parallax [3]. Monocular visual ranging method uses a single image to estimate the depth information according to the focal length of camera and the predetermined parameters, or uses the feature matching and optical flow techniques to estimate three-dimensional parameters from the images of visual sequence.…”

Section: Introductionmentioning

confidence: 99%

Viewing distance measurement using a single camera

Pang

Zhao

Chen

et al. 2014

2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference

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In order to determine the viewing distance with low complexity and high transportability, a measurement method using a single camera is proposed in this paper. After the image of the face of the viewer is taken by a single camera, it is input to the preprocessing component and the resolution of the image is transformed into a given resolution for fitting function. The pixel distance between binocular pupils in the image is determined in the image processing component. Then, the viewing distance is calculated by applying the data of the binocular pupil pixel distance into the fitting function. Experimental results show that the relative error between the detected viewing distance and the actual viewing distance of the proposed method can be controlled within ± 1.2% and the standard deviation can be controlled below 2.1631 cm within 120cm distance. And the proposed method has also stability and universal implantable capability.

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“…In the previous work [5,6], the distance, D, of the object to the equivalent lens can be calculated using the following equation:…”

Section: Distance Measurementmentioning

confidence: 99%

“…For example, in [4], the system utilized a single camera and a laser pointer to obtain distance measurement. Hai-Sung Baek et al discussed the differences on crossing camera setups and parallel camera setups [5]. They also suggest a method to measure the distance when an object is located outside the optical axes in the overlapping area of two cameras.…”

Section: Introductionmentioning

confidence: 99%

An Improvement Stereo Vision Images Processing for Object Distance Measurement

Hsu

Wang

2015

AUSMT

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Abstract:Human has the ability to roughly estimate the distance of objects because of the stereo vision of human's eyes. In this paper we proposed an improved stereo vision system to accurately measure the distance of objects in real world. Object distance is very useful for obstacle avoidance and navigation of autonomous vehicles. Recent researches have used stereo cameras for different applications such as 3D image construction, distance measurement, and occlusion detection. The proposed measurement procedure is a three-phase process: object detection, segmentation, and distance calculation. In distance calculation, we proposed a new algorithm to reduce the error. The result shows our measurement system is capable of providing objects distance with less than 5% of measurement error.

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Improvement of Distance Measurement Algorithm on Stereo Vision System(SVS)

Cited by 10 publications

References 5 publications

Improving The Stereo Distance Measurement Accuracy on The Barelang-FC Humanoid Robot

Improving The Stereo Distance Measurement Accuracy on The Barelang-FC Humanoid Robot

Viewing distance measurement using a single camera

An Improvement Stereo Vision Images Processing for Object Distance Measurement

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