A novel algorithm for distance measurement using stereo camera

Adil, Elmehdi; Mikou, M.; Mouhsen, Ahmed

doi:10.1049/cit2.12098

Cited by 27 publications

(14 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Algorithms that draw inspiration from nature are widely employed nowadays in a variety of fields, such as atom optimization [ 52 ], Python-based algorithm [ 53 ], and swarm‐intelligence optimization algorithm [ 54 ]. The MFA is an optimization method that uses the natural selection theory.…”

Section: Methodsmentioning

confidence: 99%

A new technique for influence maximization on social networks using a moth-flame optimization algorithm

Cui,

Liu

2023

Heliyon

View full text Add to dashboard Cite

Section: Methodsmentioning

confidence: 99%

A new technique for influence maximization on social networks using a moth-flame optimization algorithm

Cui,

Liu

2023

Heliyon

View full text Add to dashboard Cite

“…Adil proposed a Python-based algorithm to find the parameters of the binocular camera, create disparity maps, and use these maps for distance measurements. Experiments showed that 99.83% measurement accuracy was obtained at 100 cm, with a processing time of less than 0.355 s [49]. These studies explored an approach to measuring objects using a binocular stereo camera and supported a feasible way to measure the wood log using the image detection method with a binocular stereo camera.…”

Section: Introductionmentioning

confidence: 93%

A Novel Wood Log Measurement Combined Mask R-CNN and Stereo Vision Camera

Sun

Cao³

et al. 2023

Forests

View full text Add to dashboard Cite

Wood logs need to be measured for size when passing through customs to verify their quantity and volume. Due to the large number of wood logs needs through customs, a fast and accurate measurement method is required. The traditional log measurement methods are inefficient, have significant errors in determining the long and short diameters of the wood, and are difficult to achieve fast measurements in complex wood stacking environments. We use a Mask R-CNN instance segmentation model to detect the contour of the wood log and employ a binocular stereo camera to measure the log diameter. A rotation search algorithm centered on the wood contour is proposed to find long and short diameters and to optimal log size according to the Chinese standard. The experiments show that the Mask R-CNN we trained obtains 0.796 average precision and 0.943 IOUmask, and the recognition rate of wood log ends reaches 98.2%. The average error of the short diameter of the measurement results is 5.7 mm, the average error of the long diameter is 7.19 mm, and the average error of the diameter of the wood is 5.3 mm.

show abstract

“…Wang et al [20] provided the analysis of the guidelines of bionic eyes using flexible stereo vision equipment. Adil et al [21] designed a novel distance measurement algorithm using stereo vision. The accuracy and the quality of disparity map were most important indices for evaluating the results.…”

Section: Perception Accuracy Of Stereo Visionmentioning

confidence: 99%

“…Adil et al. [21] designed a novel distance measurement algorithm using stereo vision. The accuracy and the quality of disparity map were most important indices for evaluating the results.…”

Section: Related Workmentioning

confidence: 99%

Hawk‐eye‐inspired perception algorithm of stereo vision for obtaining orchard 3D point cloud navigation map

Zhang

Chen

et al. 2022

CAAI Trans on Intel Tech

View full text Add to dashboard Cite

The binocular stereo vision is the lowest cost sensor for obtaining 3D information. Considering the weakness of long-distance measurement and stability, the improvement of accuracy and stability of stereo vision is urgently required for application of precision agriculture. To address the challenges of stereo vision long-distance measurement and stable perception without hardware upgrade, inspired by hawk eyes, higher resolution perception and the adaptive HDR (High Dynamic Range) were introduced in this paper. Simulating the function from physiological structure of 'deep fovea' and 'shallow fovea' of hawk eye, the higher resolution reconstruction method in this paper was aimed at accuracy improving. Inspired by adjustment of pupils, the adaptive HDR method was proposed for high dynamic range optimisation and stable perception. In various light conditions, compared with default stereo vision, the accuracy of proposed algorithm was improved by 28.0% evaluated by error ratio, and the stability was improved by 26.56% by disparity accuracy. For fixed distance measurement, the maximum improvement was 78.6% by standard deviation. Based on the hawk-eye-inspired perception algorithm, the point cloud of orchard was improved both in quality and quantity. The hawk-eye-inspired perception algorithm contributed great advance in binocular 3D point cloud reconstruction in orchard navigation map. K E Y W O R D S adaptive high dynamic range, binocular stereo vision, hawk-eye-inspired perception, point cloud of orchard, super-resolution generative adversarial network 1 | INTRODUCTION Precision agriculture needs accurate perception. In orchard automation agricultural production, accurate and stable 3D navigation map is the basis of UAV and unmanned vehicle operation [1]. Agricultural production is very sensitive to the cost. Binocular stereo vision has advantages over other sensors because of low cost, high sampling frequency, large amount of data obtaining ability, low-power consumption, and light weight, which is widely used in the all-production links in smart agriculture [2, 3]. However, in most condition of agricultural outdoor working environment, optical sensors and This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

show abstract

A novel algorithm for distance measurement using stereo camera

Cited by 27 publications

References 26 publications

A new technique for influence maximization on social networks using a moth-flame optimization algorithm

A new technique for influence maximization on social networks using a moth-flame optimization algorithm

A Novel Wood Log Measurement Combined Mask R-CNN and Stereo Vision Camera

Hawk‐eye‐inspired perception algorithm of stereo vision for obtaining orchard 3D point cloud navigation map

Contact Info

Product

Resources

About