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International Journal of Automotive Technology > Volume 24(1); 2023 > Article
International Journal of Automotive Technology 2023;24(1): 287-303.
doi: https://doi.org/10.1007/s12239-023-0025-6
Jae Kyu Suhr 1, and Ho Gi Jung 2
1School of Intelligent Mechatronics Engineering, Sejong University
2Department of Electronic Engineering, Korea National University of Transportation
PDF Links Corresponding Author.  and Ho Gi Jung  , Email. hogijung@ut.ac.kr
This paper summarizes the results of research on target parking position designation for automatic parking systems and proposes development directions. First, as parking-related systems become increasingly common in the intelligent vehicle field, many terms are used confusingly, so automatic parking systems are defined in comparison with other systems. After that, various methods of the target parking position designation in automatic parking systems are classified into user interfaced-based, free space-based, parking slot marking-based, and intelligent parking management system (IPMS)-based, and the various approaches are summarized. In this paper, the fusion of image sensor-based parking slot marking recognition and range sensor-based free space recognition, which have complementary characteristics, is expected to be the most important approach in the near future. In particular, this paper proposes that in order to effectively apply the deep learning-based method with high recognition performance, open competition through datasets for various challenging situations is necessary. If vehicle to infrastructure (V2I) communication is standardized in the distant future, the importance of IPMS-based is expected to increase. In order to cope with this, this paper proposes that the commercialization and standardization of high-precision indoor positioning along with the standardization of vehicle to everything (V2X) communication are necessary.
Key Words: Automatic parking, Parking position designation, Free space detection, Parking slot detection
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