Abstract
The parking assist system is an essential application of the car’s active collision avoidance system in low-speed and complex urban environments, which has been a hot research topic in recent years. Parking space detection is an important step of the parking assistance system, and its research object is parking spaces with symmetrical structures in parking lots. By analyzing and investigating parking space information measured by the sensors, reliable detection of sufficient parking spaces can be realized. First, this article discusses the main problems in the process of detecting parking spaces, illustrating the research significance and current research status of parking space detection methods. In addition, it further introduces some parking space detection methods, including free-space-based methods, parking-space-marking-based methods, user-interface-based methods, and infrastructure-based methods, which are all under methods of parking space selection. Lastly, this article summarizes the parking space detection methods, which gives a clear direction for future research.
Highlights
With the rapid economic and social development, the number of motor vehicles in China has increased rapidly
Researchers proposed a parking space detection method based on parking space markings, using computer vision technology to determine the location of the parking space by identifying the parking space markings from the image
In large-scale parking lot management, the parking space detection method based on i6n. fInrafrsatsrtruuccttuurree-BiassevdeMryetshuoditsable, and the target location is specified through the local-global positiinofrnasIinntrulgacrtsguyer-sestciesalmveepr,yadrskiuignitigatbalollet,mmanaadnpathg, eeamtnaerdngtec,ttohlomecpamtairokuninnisgiscspapeatcicioefineddewttehcirttoihoungthmhteehthepolaodcrbakla-isgneldogboamnl anagement system [50,51]
Summary
With the rapid economic and social development, the number of motor vehicles in China has increased rapidly. According to the categories of the selected sensors, they can be divided into visual and non-visual detection methods [2]. By using cameras for image acquisition, based on the captured images, computer vision algorithms are applied to detect parking spaces. Those approaches provide real-time visual assistance and rich image information, but it could be greatly affected by environmental factors. Non-visual detection methods mainly use ultrasonic sensors, short-range radars, or laser scanners. In this way, they send microwave signals to the surroundings and determine the distance from the sensor itself to the environment based on the “time of flight” (TOF).
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