Investigation of the Relationship between Speed and Image Quality of Autonomous Vehicles
Xin Li, Yuting Kan, Tao Shang
School of Mines, China University of Mining and Technology, Xuzhou, China
Keywords: Open-pit mine, autonomous vehicles, motion blur, motion speed
Abstract
In order to ensure the safety of the autopilot system, this article analyzes the causes of motion blur from the perspective of camera imaging principles and uses the relationship between the coordinate systems to determine the position of a certain point in the three-dimensional space in the pixel coordinate system. Finally, the degree of motion blur is determined by calculating the displacement of the pixel points per unit time and assigning weights to them using a Gaussian function. The results show that the degree of motion blur increases from the center of the image to the sides, and it is positively correlated with the motion speed in general. This is used to determine the critical speed of safe driving, providing a way to improve the safety of the open-pit mining autopilot system further.
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