Optimizing Non-Glare Zone Width of Adaptive Driving Beam (ADB) Using Fuzzy Logic Control

被引:1
作者
Chen, Yihong [1 ]
Ahmadi, Arash [2 ]
Ahamed, Mohammed Jalal [1 ]
机构
[1] Univ Windsor, Mech Automot & Mat Engn, Windsor, ON N9B 3P4, Canada
[2] Univ Windsor, Elect & Comp Engn, Windsor, ON N9B 3P4, Canada
来源
APPLIED SCIENCES-BASEL | 2021年 / 11卷 / 19期
关键词
vehicle forward lighting; adaptive driving beam; non-glare zone; LucidDrive; fuzzy logic control; virtual night drive;
D O I
10.3390/app11198840
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Adaptive driving beam (ADB) is an advanced vehicle forward-lighting system that automatically adapts its beam patterns to create a non-glare zone around vehicles, providing good long-range visibility for the driver without causing an uncomfortable glare for other road users. The performance of the ADB system is affected by the non-glare zone width. A narrow non-glare zone could create indirect glare in the side rearview mirrors of preceding vehicles during sharp turns while widening it results in poor road illumination. This research studies the trade-off relationship between glare and road illumination when altering the width of the non-glare zone in different driving scenarios. The study is conducted by using virtual driving simulation tools to simulate an ADB vehicle on four S-curve roads with minimum curvatures varying from 25 m to 100 m. Lux data are collected and processed using a fuzzy logic controller to mimic a human test driver to find the best non-glare zone width for balancing the trade-off. The research developed a design methodology allowing for a better understanding of the effect adjusting the width of the ADB non-glare zone has on ADB performance and improved ADB non-glare zone width optimum control system design.
引用
收藏
页数:17
相关论文
共 26 条
[1]  
American Association of State Highway and Transportation Officials, 2001, POL GEOM DES HIGHW S, P143
[2]  
American Association of State Highway and Transportation Officials, 2001, POL GEOM DES HIGHW S, P142
[3]  
American Automobile Association, 2019, COMP EUR US SPEC AUT
[4]  
[Anonymous], 2013, SAE INT, DOI DOI 10.4271/J3069_201606
[5]   Front-View Vehicle Make and Model Recognition on Night-Time NIR Camera Images [J].
Balci, Burak ;
Elihos, Alperen ;
Turan, Mehmet ;
Alkan, Bensu ;
Artan, Yusuf .
2019 16TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED VIDEO AND SIGNAL BASED SURVEILLANCE (AVSS), 2019,
[6]  
Bradai B., 2007, P 7 INT S AUT LIGHT, P304
[7]   Optical Design for Laser Diode Scanner Headlamp with Efficiently Distributed Optical Power for Adaptive Driving Beam System of Automobiles [J].
Choi, Hyun ;
Lee, Won-Sup ;
Harisha, Bairi Sri ;
Kim, Wan-Chin ;
Lim, Jiseok .
APPLIED SCIENCES-BASEL, 2021, 11 (02) :1-12
[8]  
Gao ZH, 2013, INT CONF MEASURE, P1389, DOI 10.1109/MIC.2013.6758218
[9]  
Görmer S, 2009, 2009 12TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC 2009), P196
[10]  
Gotz M., 2019, ATZ WORLDWIDE, V121, P42, DOI DOI 10.1007/S38311-019-0109-0