DocumentCode :
1859345
Title :
Research on Recognition Methods of Bus Front Road Condition Based on Video
Author :
Rongbao Chen ; Huafeng Xiao ; Xianwei Dou ; Wei Hou
Author_Institution :
Inst. of Electr. & Autom., Hefei Univ. of Technol., Hefei, China
fYear :
2013
fDate :
26-28 July 2013
Firstpage :
439
Lastpage :
442
Abstract :
Among safe driving systems of intelligent transportation, the road recognition for bus driving, Especially for front road driving condition, becomes more and more important. Moreover, improving the road recognition of public transport vehicles can greatly improve safe driving performance as well as safety and comfort of passenger. Road before driving generally includes vehicle, pedestrians and suspected obstacles, which can be detected based on image technology intuitively and quickly. Based on video image processing technology, using imaging principles, this paper predicts the bus driving route of next moment, and calculates the minimum safe distance after making Canny edge improved algorithm. Coupling radar real-time detects for speed and distance of obstacles in front, the real-time monitoring of road front driving for bus is realized. Finally, the collision avoidance simulation verifies the correctness of this method, which has very broad application areas.
Keywords :
automated highways; collision avoidance; edge detection; object detection; pedestrians; road safety; road vehicles; traffic engineering computing; video signal processing; Canny edge improved algorithm; bus driving route; bus front road condition; collision avoidance simulation; front road driving condition; image technology; imaging principles; intelligent transportation; minimum safe distance; obstacles distance; obstacles speed; passenger comfort; passenger safety; pedestrians; public transport vehicles; radar real-time detection; real-time monitoring; recognition methods; road recognition; safe driving performance; safe driving systems; video image processing technology; Image edge detection; Radar imaging; Real-time systems; Roads; Safety; Vehicles; Canny edge improved algorithm; front road driving condition; minimum safe distance; safe driving systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Graphics (ICIG), 2013 Seventh International Conference on
Conference_Location :
Qingdao
Type :
conf
DOI :
10.1109/ICIG.2013.94
Filename :
6643712
Link To Document :
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