Vehicle to vehicle distance measurement for self-driving systems

被引:0
|
作者
Zaarane, Abdelmoghit [1 ]
Slimani, Ibtissam [1 ]
Hamdoun, Abdellatif [1 ]
Atouf, Issam [1 ]
机构
[1] Univ Hassan 2, Fac Sci Ben Msik, Phys Dept, LTI Lab, Casablanca, Morocco
关键词
Distance estimation; vehicles; Stereo vision; image processing; Stereoscopic camera;
D O I
10.1109/codit.2019.8820572
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The driving safety is the first challenge for transportation department. Most of traffic accidents resulted from distraction, inattention to surrounding cars and driving fatigue. Several intelligent transportation systems (ITS) have been invented to deal with this problem and protect drivers, for example smart vehicles, Driving Safety Support Systems (DSSS), self-driving and traffic mobility. In the current paper vehicle to vehicle distance measurement system based on image processing has been presented which is a very simple method using two cameras mounted on the vehicle's windshield as one stereoscopic camera. The distance is calculated from geometrical derivations using additional technical data like distance between the cameras and some other specific angles such as the cameras view field angle ... The method achieves a very high accuracy where the calculated distance between the vehicle and the camera is relatively accurate.
引用
收藏
页码:1587 / 1591
页数:5
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