Open AccessResearch on the forward distance detection algorithm based on the camera switching
Author(s) -
Mengyuan Chen,
Dehong Tian,
Xiao Xiao,
ChengYuan Bian
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/533/1/012043
Subject(s) - shadow (psychology) , position (finance) , computer vision , computer science , artificial intelligence , feature (linguistics) , algorithm , collision , front (military) , function (biology) , engineering , mechanical engineering , psychology , linguistics , philosophy , computer security , finance , evolutionary biology , economics , psychotherapist , biology
In order to promote vehicle active safety and to decrease collision accident, In this paper, an algorithm for detection of vehicle distance in front based on single and double camera switching is presented. This algorithm has done the corresponding difference processing to the day and night two different situations. By switching between single and double cameras, the image of the car bottom shadow, the characteristics of the vertical direction of the vehicle, the characteristics of the car taillight and other features was taken, and the position of the vehicle in front was locked. Finally, the feature information of the vehicle is converted into the distance information. Experiments show that, this system designed in the paper, achieved the anticipated function, can accurately detect multi-lane and short distance vehicle distance, and the efficiency of the system also achieved the real-time requirement.