An integrated driver warning system for driver and pedestrian safety

被引:12
作者
Chien, Jong-Chih [1 ]
Lee, Jiann-Der [2 ]
Chen, Chi-Ming [2 ]
Fan, Ming-Wen [2 ]
Chen, Yu-Home [2 ]
Liu, Li-Chang [2 ]
机构
[1] Kainan Univ, Dept Informat Management, Tao Yuan 33857, Taiwan
[2] Chang Gung Univ, Dept Elect Engn, Tao Yuan 333, Taiwan
关键词
Driving safety; Stereo vision; Histogram of oriented gradient; Adaboost; Fuzzy; VEHICLE DETECTION;
D O I
10.1016/j.asoc.2013.06.008
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A semi-integrated system for driver assistance and pedestrian safety is presented. This system is composed of a single camera which focuses on the driver for picking up visual cues and a stereo rig that focus on the road ahead for the detection of road obstructions and pedestrians. While the car is in motion, the driver's viewing direction is obtained and analyzed along with information of road condition and any moving vehicle ahead in order to determine if the current driving condition is safe. In addition, when the vehicle is moving slowly, the system can also detect the existence of a pedestrian ahead and warns the driver if the pedestrian moves in front of the car. This system contains algorithm-based safety analysis as well as fuzzy rules-based analysis for interaction between variables. Our experimental results show that the condition for driver safety can be accurately classified in 94.5% of the tested driving conditions, and the pedestrians can be identified in 93.18% of the tested cases. These were compared to the results of similar systems and shown to be superior. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:4413 / 4427
页数:15
相关论文
共 19 条
[1]   Comparison between particle filter approach and Kalman filter-based technique for head tracking in augmented reality systems [J].
Ababsa, FE ;
Mallem, M ;
Roussel, D .
2004 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1- 5, PROCEEDINGS, 2004, :1021-1026
[2]   FUZZY RULES EXTRACTION DIRECTLY FROM NUMERICAL DATA FOR FUNCTION APPROXIMATION [J].
ABE, S ;
LAN, MS .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1995, 25 (01) :119-129
[3]  
[Anonymous], SPRINGER LECT NOTES
[4]  
Batista Jorge, 2007, 2007 IEEE Intelligent Transportation Systems Conference, P702, DOI 10.1109/ITSC.2007.4357702
[5]   Vision-based intelligent vehicles: State of the art and perspectives [J].
Bertozzi, M ;
Broggi, A ;
Fascioli, A .
ROBOTICS AND AUTONOMOUS SYSTEMS, 2000, 32 (01) :1-16
[6]   Histograms of oriented gradients for human detection [J].
Dalal, N ;
Triggs, B .
2005 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 1, PROCEEDINGS, 2005, :886-893
[7]   Monocular Pedestrian Detection: Survey and Experiments [J].
Enzweiler, Markus ;
Gavrila, Dariu M. .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2009, 31 (12) :2179-2195
[8]   Driver Inattention Detection based on Eye Gaze-Road Event Correlation [J].
Fletcher, Luke ;
Zelinsky, Alexander .
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2009, 28 (06) :774-801
[9]   Survey of Pedestrian Detection for Advanced Driver Assistance Systems [J].
Geronimo, David ;
Lopez, Antonio M. ;
Sappa, Angel D. ;
Graf, Thorsten .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2010, 32 (07) :1239-1258
[10]  
Hu ZC, 2005, 2005 IEEE Intelligent Vehicles Symposium Proceedings, P48