Modeling and Implementation of the Parking Assistance System
DOI:
https://doi.org/10.24867/18BE19PavkovicKeywords:
parking assistance system, ultrasonic sensors, camera calibration, perspective transformationAbstract
The paper presents the implementation of a parking assistance system in vehicles. The implementation of an algorithm for processing input images with four cameras, consisting of two parts, is briefly described. The first step is the calibration of the camera, while the next step is the generation of output images with surround view where various operations such as distortion correction, perspective transformation and image merging are used. The system also contains six ultrasonic sensors that check the distance of obstacles in the immediate vicinity of the vehicle. Functions, modules, and software components are described. Algorithm performance was tested using the Qt development environment.
References
[1] B. Zhang, V. Appia, I. Pekkucuksen, A. U. Batur, P. Shastry, S. Liu, S. Sivasankaran, K. Chitnis, “A surround view camera solution for embedded systems,” IEEE Conference on Computer Vision and Pattern Recognition Workshops, Columbus, OH, USA, 2014, pp. 676-681.
[2] W. Yong, Q. Chen, “A Robust Method for Detecting Parking Areas in Both Indoor and Outdoor Environments”, Sensors 18, no. 6: 1903, 2018.
[3] AUTOSAR, https://www.vector.com/int/en/know-how/autosar/autosar-classic/#c100477 (pristupljeno 10.02.2022.)
[2] W. Yong, Q. Chen, “A Robust Method for Detecting Parking Areas in Both Indoor and Outdoor Environments”, Sensors 18, no. 6: 1903, 2018.
[3] AUTOSAR, https://www.vector.com/int/en/know-how/autosar/autosar-classic/#c100477 (pristupljeno 10.02.2022.)
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Published
2022-07-08
Issue
Section
Electrotechnical and Computer Engineering
