| SURVEY OF TARGET PARKING POSITION DESIGNATION FOR
AUTOMATIC PARKING SYSTEMS |
| 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 |
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| ABSTRACT |
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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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Corresponding Author.
and Ho Gi Jung , Email. 
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