2021
DOI: 10.1177/16878140211002727
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Automobile tire life prediction based on image processing and machine learning technology

Abstract: With economic growth, automobiles have become an irreplaceable means of transportation and travel. Tires are important parts of automobiles, and their wear causes a large number of traffic accidents. Therefore, predicting tire life has become one of the key factors determining vehicle safety. This paper presents a tire life prediction method based on image processing and machine learning. We first build an original image database as the initial sample. Since there are usually only a few sample image libraries … Show more

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Cited by 26 publications
(6 citation statements)
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“…The default functional unit for comparison is defined as 245,000 km of vehicle, segment C or D car, driven in Western Europe with an average vehicle lifetime of 15 years. If the part or sub‐system has a different individual lifetime, part‐specific lifetime is selected to match the functionality equivalence, for example, car tires have approximately 40,000 km lifetime (Zhu et al., 2021) and must be replaced four to five times during the vehicle life.…”
Section: Methodsmentioning
confidence: 99%
“…The default functional unit for comparison is defined as 245,000 km of vehicle, segment C or D car, driven in Western Europe with an average vehicle lifetime of 15 years. If the part or sub‐system has a different individual lifetime, part‐specific lifetime is selected to match the functionality equivalence, for example, car tires have approximately 40,000 km lifetime (Zhu et al., 2021) and must be replaced four to five times during the vehicle life.…”
Section: Methodsmentioning
confidence: 99%
“…According to [35], approximately a half of traffic accidents on highways is related to tire problems many of which are provoked by blowout tires. Furthermore, since vehicle tires are the only contact point between a vehicle and road surface (contact patch problem) [14,15,29,32], the tire condition has a crucial impact on a dynamic stability and safety of car movement, especially during winter and autumn season.…”
Section: Eksploatacja I Niezawodnosc -Maintenance and Reliabilitymentioning
confidence: 99%
“…Finally, an algorithm was developed to identify and locate tread grooves on the profile curve and calculate the depth of each groove. Zhu et al [23] proposed a method for image feature extraction and representation. They employed preprocessing and texture feature extraction techniques to analyze tire pattern wear images from a small sample database.…”
Section: Introductionmentioning
confidence: 99%