Parking Space and Obstacle Detection Based on a Vision Sensor and Checkerboard Grid Laser
Source abstract
Abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Smart Parking Systems Research · Image Enhancement Techniques · Advanced Vision and Imaging
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China
School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China
School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang 212013, China
Funding
Natural Science Fund for Colleges and Universities in Jiangsu Province · Innovation Plan for Postgraduate Research of Jiangsu Province in 2014 · National Natural Science Foundation of China
References (27)
Show source-provided references
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