Tractor-trailer-train braking time sequence detection based on monocular vision

Zhang, Libin; Feng, Shiyuan; Shan, Hongyan; Wang, Guanran

doi:10.1177/16878140211067045

Cited by 4 publications

(1 citation statement)

References 16 publications

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“…The basic principle of MVR is to use a single camera to shoot the target to be measured [10], as to obtain the imaging pixel value of the target, and then calculate the actual size of the target through the imaging ratio of the camera [11]. According to the different acquisition methods, the imaging ratio can be divided into two types: standard reference acquisition (SRA) and camera parameter calibration acquisition (CPCA).…”

Section: The Principle Of Mvrmentioning

confidence: 99%

Research on Tire Groove Depth Detection System based on MVR

Qian¹,

Xingwen²,

Zhu³

et al. 2022

Preprint

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The change of tire groove depth will have a huge impact on tire performance, and the use of excessively worn tires is not conducive to the driving safety of automobiles. Tire groove depth detection has become one of the annual inspection items of automobiles, but the research on its related detection technology is still relatively backward. Based on the principle of monocular vision ranging (MVR), image processing technology and cloud platform technology, this paper develops a tire groove depth detection system, which realizes non-destructive detection of tire groove depth. In addition, the system uses the cloud platform to store the test results, and builds a multi-level data management system, allowing car owners to keep track of the tire wear status and historical changes, which is of great significance to ensuring driving safety.

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Section: The Principle Of Mvrmentioning

confidence: 99%

Research on Tire Groove Depth Detection System based on MVR

Qian¹,

Xingwen²,

Zhu³

et al. 2022

Preprint

View full text Add to dashboard Cite

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Measuring Method of Slip Ratio for Tractor Driving Wheels Based on Machine Vision

Zhu

Wang²,

Zhu

et al. 2022

Agriculture

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Tractors are prone to large slips when they are in field operation. The degree of slip plays a vital role in traction efficiency and fuel efficiency. This paper presents a method for measuring the slip ratio of tractors in field operation based on machine vision. The accurate measurement of slip ratio needs to obtain actual velocity and theoretical velocity separately. For obtaining the actual velocity, a monocular camera mounted on the tractor vertically faces down at the ground to collect images. Then, the feature points of inter-frame ground images are matched by the ORB (Oriented FAST and Rotated BRIEF) algorithm for calculating the translational displacement. Next, a homography matrix based on camera calibration is proposed to complete the transformation of a point from the pixel coordinate system to the world coordinate system. Aiming to acquire the theoretical velocity, a method that takes the variations in tire radius into account is proposed, and the tire radii of the driving wheels are indirectly determined by the tire inflation pressure in real-time. The proposed measurement method was verified with an experimental tractor. The results show that the mean absolute errors of the tractor driving wheels’ slip ratio measured by the machine vision method are less than 0.75%, and the maximum of the absolute errors is not more than 2.22%, which shows good performance.

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Evaluation of Braking Timing Sequence of Semi-Trailer Train Based on Fuzzy Analytic Hierarchy Process

et al. 2022

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A reasonable braking timing sequence plays an important role in the braking stability of a semi-trailer train, but there is still a lack of objective and comprehensive scientific evaluations of braking stability as shown by the braking timing sequence. Aiming at this problem, through the analysis of relevant regulations and standards at home and abroad, an evaluation index hierarchy model of the semi-trailer train braking timing sequence is constructed. The fuzzy analytic hierarchy process is used to determine the weight of the evaluation index of each level of the braking timing sequence, and a comprehensive evaluation is obtained. In order to determine the optimal braking timing sequence of the train during braking, a simulation model was established and simulated. Through the combination of index weight and simulation data, the model can provide a theoretical basis for the subsequent study of the optimal braking timing sequence of semi-trailer trains running under different working conditions.

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Tractor-trailer-train braking time sequence detection based on monocular vision

Cited by 4 publications

References 16 publications

Research on Tire Groove Depth Detection System based on MVR

Research on Tire Groove Depth Detection System based on MVR

Measuring Method of Slip Ratio for Tractor Driving Wheels Based on Machine Vision

Evaluation of Braking Timing Sequence of Semi-Trailer Train Based on Fuzzy Analytic Hierarchy Process

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