| 31 | 0 | 127 |
| Downloads | Citas | Reads |
Heavy vehicles have relatively large direct field-of-view blind spots. Determining the range of blind spots and optimizing them is an important step in enhancing the safety of vehicle operation. Since measuring the field-of-view blind spots with a single eye point cannot reflect the influence of the dynamic changes of the driver's eye point on the blind spots, a method for estimating the field-of-view blind spots of heavy vehicles considering the characteristics of the driver's eye point is proposed. Based on the principle of ray tracing, the influences of the eye point height, longitudinal position, and lateral position on the width of the blind spots are analyzed. Combined with the probability distribution characteristics of the driver's eye point, the probability distribution law of the direct field-of-view blind spots of heavy vehicles is analyzed. Meanwhile, a concave Fresnel lens is introduced to analyze the improvement effect of different lens focal lengths and lens sizes on the width of the blind spots, and to evaluate their compression effect on the dynamic fluctuations of the blind spots, effectively reducing the range of blind spots in heavy vehicles. The research can quickly and accurately simulate the driver's field-of-view blind spots on different height planes of heavy vehicles, reflecting the differences in field-of-view blind spots among different drivers.
[1]肖宏伟，周睿卓，姜晴雯，等.商用车视野盲区测试方法[J].吉林大学学报(工学版),2022,52(5):1009-1015.XIAO H W,ZHOU R Z,JIANG Q W,et al.Test method of commercial vehicle vision blind zone[J].Journal of Jilin University (Engineering and Technology Edition),2022,52(5):1009-1015.
[2]黄淑仪，冯梦琦.重型车视野盲区监测跟踪系统研究[J].汽车测试报告，2022(21):34-36.HUANG S Y,FENG M Q.Research on the monitoring and tracking system for the blind area of heavy vehicle’s vision[J].Car Test Report,2022(21):34-36.
[3]THAKURDESAI H M,AGHAV J V.Autonomous cars:technical challenges and a solution to blind spot[C]//Advances in Computational Intelligence and Communication Technology.Ghaziabad:Springer,2021:533-547.
[4]唐海林.汽车驾驶员前方视野检测中的主要环节分析[J].汽车与驾驶维修(维修版),2017(5):67.TANG H L.Analysis of the main links in front view detection for automobile drivers[J].Auto Driving&Service,2017(5):67.
[5]韩飞，张素民，刘嘉沂.基于眼椭圆的驾驶员后视镜视野盲区概率分布估计[J].吉林大学学报(工学版),2013,43(增刊1):521-525.HAN F,ZHANG S M,LIU J Y.Estimation of probability of blind zone of vehicle rearview mirror based on eyellipse[J].Journal of Jilin University (Engineering and Technology Edition),2013,43(S1):521-525.
[6]马沫凯.商用车驾驶员视野及盲区的测试与分析[D].长春：吉林大学，2019.MA M K.Test and analysis of driver’s vision and blind area of commercial vehicle[D].Changchun:Jilin University,2019.
[7]MARSHALL R,SUMMERSKILL S,PATERSON A,et al.The use of digital human modelling for the definition and contextualisation of a direct vision standard for trucks[J].Advances in Transdisciplinary Engineering,2020,11:99-107.
[8]HASHIM M S M,ISMAIL A H,BAKAR S A,et al.Identifying blind spot zone for passenger cars using grid-based technique[J].Journal of the Society of Automotive Engineers Malaysia,2018,2(3):245-251.
[9]OBEIDAT M S,ALTHEEB N F,MOMANI A,et al.Analyzing the invisibility angles formed by vehicle blind spots to increase driver’s field of view and traffic safety[J].International Journal of Occupational Safety and Ergonomics,2022,28(1):129-138.
[10]孟银阔，刘江涛，龚佑祥，等.基于超声波的汽车盲区检测[J].现代信息科技，2023,7(6):168-171.MENG Y K,LIU J T,GONG Y X,et al.Automobile blind spot detection based on ultrasound wave[J].Modern Informationn Technology,2023,7(6):168-171.
[11]MARUTA K,TAKIZAWA M,FUKATSU R,et al.Blind-spot visualization via AR glasses using millimeter-wave V2X for safe driving[C]//2021 IEEE 94th Vehicular Technology Conference.Norman:IEEE,2021:1-5.
[12]LIU G R,WANG L L,ZOU S.A radar-based blind spot detection and warning system for driver assistance[C]//2017 IEEE 2nd Advanced Information Technology,Electronic and Automation Control Conference.Chongqing:IEEE,2017:2204-2208.
[13]王巍，白龙，马欢畅，等.基于机器视觉的驾驶员视野盲区安全预警方法研究[J].计算机科学，2023,50(增刊1):488-494.WANG W,BAI L,MA H C,et al.Study on safety warning method of driver’s blind area based on machine vision[J].Computer Science,2023,50(S1):488-494.
[14]冯元.沃尔沃新型安全概念轿车[J].轻型汽车技术，2002(6):9.FENG Y.Volvo’s new safety concept car[J].Light Vehicles,2002(6):9.
[15]Motor Vehicle Drivers’Eye Locations:SAE J941[S].New York:SAE Internation,1999.
Basic Information:
DOI：10.13291/j.cnki.djdxac.2026.02.002
China Classification Code:U492.8
Citation Information:
[1]ZHANG Xi,SONG Mingtao,LUO Ye.Analysis and Optimization of Commercial Vehicle Blind Zone Considering Eyellipse[J].Journal of Dalian Jiaotong University,2026,47(02):16-22+64.DOI:10.13291/j.cnki.djdxac.2026.02.002.
Fund Information:
深圳市安全生产专项经费项目(YJY-23-JT-JY010)
2024-06-26
2024
2024-08-16
2024-08-27
2024
1
2026-04-11
2026-04-11
2026-04-11