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12 January 2018 Designation and verification of road markings detection and guidance method
Runze Wang, Yabin Jian, Xiyuan Li, Yonghong Shang, Jing Wang, JingChuan Zhang
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Proceedings Volume 10620, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology; 1062006 (2018) https://doi.org/10.1117/12.2294023
Event: International Conference on Optical Instruments and Technology 2017, 2017, Beijing, China
Abstract
With the rapid development of China's space industry, digitization and intelligent is the tendency of the future. This report is present a foundation research about guidance system which based on the HSV color space. With the help of these research which will help to design the automatic navigation and parking system for the frock transport car and the infrared lamp homogeneity intelligent test equipment.

The drive mode, steer mode as well as the navigation method was selected. In consideration of the practicability, it was determined to use the front-wheel-steering chassis. The steering mechanism was controlled by the stepping motors, and it is guided by Machine Vision. The optimization and calibration of the steering mechanism was made. A mathematical model was built and the objective functions was constructed for the steering mechanism.

The extraction method of the steering line was studied and the motion controller was designed and optimized. The theory of HSV, RGB color space and analysis of the testing result will be discussed

Using the function library OPENCV on the Linux system to fulfill the camera calibration. Based on the HSV color space to design the guidance algorithm.
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Runze Wang, Yabin Jian, Xiyuan Li, Yonghong Shang, Jing Wang, and JingChuan Zhang "Designation and verification of road markings detection and guidance method", Proc. SPIE 10620, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology, 1062006 (12 January 2018); https://doi.org/10.1117/12.2294023
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KEYWORDS
Mathematical modeling
Machine vision
Cameras
Computer vision technology
Detection and tracking algorithms
Navigation systems
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