A Statistical Method for Parking Spaces Occupancy Detection via Automotive Radars

Luo, Qi; Saigal, Romesh; Hampshire, Robert C.; Wu, Xinyi

doi:10.1109/vtcspring.2017.8108418

Cited by 8 publications

(1 citation statement)

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“…APS that use sensors like ultrasonic radar sensors to find parking spaces have the advantage of high-speed data processing and long detection distance, free from the influence of light. However, ultrasonic radar cannot distinguish the types of obstacles, and it is easy to misjudge when the ultrasonic radar scans low barriers or potholes on the ground [3,4].…”

Section: Introductionmentioning

confidence: 99%

Parking Space and Obstacle Detection Based on a Vision Sensor and Checkerboard Grid Laser

Jiang

et al. 2020

Applied Sciences

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The accuracy of automated parking technology that uses ultrasonic radar or camera vision for obstacles and parking space identification can easily be affected by the surrounding environment especially when the color of the obstacles is similar to the ground. Additionally, this type of system cannot recognize the size of the obstacles detected. This paper proposes a method to identify parking spaces and obstacles based on visual sensor and laser device recognition methods by installing a laser transmitter on the car. The laser transmitter produces a checkerboard-shaped laser grid (mesh), which varies with the condition encountered on the ground, which is then captured by the camera and taken as the region of interest for the necessary image processing. The experimental results show that this method can effectively identify obstacles as well as their size and parking spaces even when the obstacles and the background have a similar color compared to when only using sensors or cameras alone. recognize the size of objects, and binocular cameras are more expensive and the algorithms more complex [5][6][7][8].Another technology that APS uses for parking space recognition is the LiDAR sensing system. This technology was originally developed and used by the military. It detects the distance of the surrounding environment by launching a multi-beam pulsed laser rotating 360 degrees, and it can also draw a 3D map. However, as a result of the high cost of this technology, LiDAR with a low wire harness is used in vehicles, which comes with a decrease in resolution, making it susceptible to producing blind spots and resulting in safety concerns [9][10][11].The multi-sensor fusion technique for APS as proposed by many researchers is to overcome the above shortcomings of the other technologies. However, the high cost of this technology coupled with the fact that it has not sufficiently matured hinder its adoption [12][13][14]. Additionally, the theory of parking space recognition rarely considers the general situation of the obstacles in the parking space, which can lead to inaccurate obstacle identification [15].In order to solve the above challenges, a new parking space recognition scheme is proposed in this paper. A laser transmitter is added to the vision sensor system. A chessboard effect laser grid is presented on the ground by a laser emitter mounted on the vehicle, and the shape of the laser grid will change when there are obstacles on the ground. After these changes are captured by the camera, through image processing, the laser mesh region is taken as the region of interest. This method can effectively identify parking spaces and obstacles in parking spaces and significantly improve the recognition rate of sufficient parking spaces.

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Section: Introductionmentioning

confidence: 99%