Iranian Journal of Mechanical Engineering Transactions of ISME

Iranian Journal of Mechanical Engineering Transactions of ISME

Presenting a New Algorithm for Detecting Road Lines with the Possibility of Predicting the Route in Conditions of Limited Visibility

Authors
Mohammad Shafieian 1
Mehrdad Javadi 2
Alireza Khodayari 3
Seyed Hamed Tabatabaei Oreh 2
Ali Ghaffari 4
1 PhD Student, Department of Mechanical Engineering, ST.C., Islamic Azad University, Tehran, Iran
2 Associate Professor, Department of Mechanical Engineering, ST.C., Islamic Azad University, Tehran, Iran
3 Professor, Department of Mechanical Engineering, CT.C., Islamic Azad University, Tehran,
4 Professor, Faculty of Mechanical Engineering, K. N. Toosi University of Technology, Tehran Iran
10.30506/ijmep.2025.2043835.1997
Abstract
Controlling the car position over the lines and relative to other cars is the first step to direct the car. Designing a car positioning system is an important challenge in making intelligent cars. In this paper, a new algorithm for road line detection is provided that can predict road's lines and vehicle positioning under the terms of vision limitations using the Kalman filter and IMU data. This algorithm operates real-time and has the ability to implement a variety of operating systems and hardware platforms. The proposal has been examined by simulating the driving environment in the laboratory, with an average accuracy of 86% in line detection and 79.5% in the estimation of the car position.
Keywords
Intelligent car
Line detection
Kalman filter
Convolutional neural networks

Subjects

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  • Receive Date 26 October 2024
  • Revise Date 07 April 2025
  • Accept Date 12 May 2025