Improving the Reliability of Autonomous Vehicles in a Branded Service System Using Big Data

Makarova, Irina; Buyvol, Polina; Gabsalikhova, Larisa; Pashkevich, Anton; Tsybunov, Eduard; Boyko, Aleksey

doi:10.1109/rem49740.2020.9313084

Cited by 3 publications

(2 citation statements)

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“…The purpose of inspection is to analyze the relationship between the various signals (e.g., yaw rate, side slip angle, longitudinal speed, and adhesion coefficient) and the lateral dynamics of the vehicle. In addition, the authors of [95] proposed an OLAP-based (online analytical processing) analysis tool that utilizes big data to improve the reliability and efficiency of decision making for autonomous vehicles.…”

Section: Level 5 Full Automationmentioning

confidence: 99%

Smart Mobility with Big Data: Approaches, Applications, and Challenges

2023

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Many vehicles are connected to the Internet, and big data are continually created. Various studies have been conducted involving the development of artificial intelligence, machine learning technology, and big data frameworks. The analysis of smart mobility big data is essential and helps to address problems that arise as society faces increased future mobility. In this paper, we analyze application issues such as personal information leakage and data visualization due to increased data exchange in detail, as well as approaches focusing on analyses exploiting machine learning and architecture research exploiting big data frameworks, such as Apache Hadoop, Apache Spark, and Apache Kafka. Finally, future research directions and open challenges are discussed.

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Section: Level 5 Full Automationmentioning

confidence: 99%

Smart Mobility with Big Data: Approaches, Applications, and Challenges

2023

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“…In addition to the accuracy of sensors and software components that allow an autonomous vehicle to navigate in space, a huge role is assigned to diagnostics using onboard systems, maintaining the failure-free and reliability of traditional systems [22]. For this, driver assistance systems are widely used.…”

Section: Theory: the Main Directions Of Ensuring The Autonomous Vehicles' Active Safetymentioning

confidence: 99%

Parameterization of the ABS electronic control unit for increasing the autonomous trucks’ active safety

et al. 2021

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The article is devoted to the issue of improving the autonomous vehicles safety. The anti-lock braking system was chosen as the object of the study, since it is one of the components of the vehicle active safety during emergency braking. Its functioning varies depending on parameters such as vehicle type, transmission type, external and internal steering wheel angles. It is necessary to parameterize correctly the electronic control unit of the anti-lock braking system depending on the specific values of these parameters. For this, a software module was developed that reads the values of the vehicle parameters from a file and sends their array to the electronic control unit. Then we can check the result: how the block responded to the sent request -positively or negatively. All this will speed up the parameterization process, increase its accuracy, preventing the occurrence of operator errors during its implementation.

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