Geometric Features-based Parking Slot Detection 3,5/5 3455 votes
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The intelligent parking space detection system based on image processing was designed and tested. By identify the rounded brown image drawn at each parking lot as a reference on image detection, it makes the process of detecting image as a reference more efficient compared to the use of a moving object. An intelligent parking lot detection system based on image processing have been tested and proposed in this paper. This results are included the sequences of the car park detection from empty lot (8 parking available) until the full parking lot. 8 shows the number of availability of parking lot resulted by using camera preview panel, GUI. It is also possible to detect parking slots using a cam-era and a projection of structured light 10. However, legal restrictions in many countries render a worldwide commer-cializationofsuchsolutionsimpossible.Othersystemsdetect parking slots by extracting and interpreting ground markings 9,39. But the applicability and thus customer value is very. A combination of space and parking-space data is useful to determine an available parking space. Recently, the technology to combine range sensor and vision information was introduced 16. Finding a parking space by recognizing space and parking spaces is essential for an AVP. In addition, legal matters, such.
2019-11-04Highly accurate parking slot detection methods are crucial for Automated Valet Parking (AVP) systems, to meet their demanding safety and functional requirements. While previous efforts have mostly focused on the algorithms’ capabilities to detect different types of slots under varying conditions, i.e. the detection rate, their accuracy has received little attention at this time. This paper highlights the importance of trustworthy slot detection methods, which address both the detection rate and the detection accuracy. To achieve this goal, an accurate slot detection method and a reliable ground-truth slot measurement method have been proposed in this paper. First, based on a 2D laser range finder, datapoints of obstacle vehicles on both sides of a slot have been collected and preprocessed. Second, the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm has been improved to efficiently cluster these unevenly-distributed datapoints. After that, the Random Sample Consensus (RANSAC) algorithm has been improved to accurately fit the vehicles’ longitudinal contours. Finally, the candidate slot has been constructed and checked for its rationality. The final slot detection results have been defined in a way that contains both the slot size information and the slot relative position to the ego vehicle, which increases the requirement for detection accuracy. The performance of the proposed slot detection method has been verified on a test vehicle, and the experimental results show that the maximum errors in the detected slots under different conditions are 11.86 cm (position) and 3.35 deg (orientation).
![Detection Detection](https://i1.rgstatic.net/publication/323741255_Vision-Based_Parking-Slot_Detection_A_Benchmark_and_A_Learning-Based_Approach/links/5aa86d68458515b024fb0a60/largepreview.png)
DOI: https://doi.org/10.4271/2019-01-5061
![Detection Detection](https://www.researchgate.net/publication/327256067/figure/tbl2/AS:668945103200264@1536500349779/Performance-comparison-of-the-two-methods-using-the-combined-database_Q320.jpg)
Geometric Features-based Parking Slot Detection Devices
![Detection Detection](https://i.ytimg.com/vi/Y9lCA44gwho/maxresdefault.jpg)
Citation: Yang, Q., Chen, H., Su, J., and Li, J., 'Towards High Accuracy Parking Slot Detection for Automated Valet Parking System,' SAE Technical Paper 2019-01-5061, 2019, https://doi.org/10.4271/2019-01-5061.
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Author(s): Qinghua Yang, Hui Chen, Junzhe Su, Jie Li
Pages: 10
![Parking Parking](https://in.mathworks.com/help/examples/vision/win64/TextDetectionExample_06.png)
Event: New Energy & Intelligent Connected Vehicle Technology Conference
e-ISSN: 2688-3627
![Detection Detection](https://d2n4wb9orp1vta.cloudfront.net/cms/defines a feature.jpg;width=860;quality=80)
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Geometric Features-based Parking Slot Detection System
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