Analysis of Influence of Change in Field of View on Dynamic Glare Evaluation

Heng Zhang; Weidong Qiao; Jiaming Wang; Yi Li

doi:10.3788/AOS202141.1733001

Journals >Acta Optica Sinica >Volume 41 >Issue 17 >Page 1733001 > Article

Acta Optica Sinica
Vol. 41, Issue 17, 1733001 (2021)

Analysis of Influence of Change in Field of View on Dynamic Glare Evaluation

Heng Zhang¹, Weidong Qiao^1、*, Jiaming Wang¹, and Yi Li²

Author Affiliations

¹School of Mechanical and Precision Instrument Engineering, Xi′an University of Technology, Xi′an, Shaanxi 710048, China

²Optical Metrology and Test Center, Shaanxi Institute of Metrology Science, Xi′an, Shaanxi 710100, China

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DOI: 10.3788/AOS202141.1733001 Cite this Article Set citation alerts

Heng Zhang, Weidong Qiao, Jiaming Wang, Yi Li. Analysis of Influence of Change in Field of View on Dynamic Glare Evaluation[J]. Acta Optica Sinica, 2021, 41(17): 1733001 Copy Citation Text

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Fig. 1. Relationship between vehicle speed, field of view, and attention

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Fig. 2. Block diagram of technical route of dynamic glare evaluation model

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Fig. 3. A screenshot of road lighting environment of some road sections at different driving speeds. (a) 40 km/h; (b) 89 km/h

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Fig. 4. Dynamic and static brightness ratio of different road sections (80 km/h)

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Fig. 5. Five kinds of function model fitting graphs. (a) Logarithmic type; (b) power function type; (c) inverse function type; (d) S-curve type; (e) exponential type

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No. 1	No. 2	No. 3	No. 4	No. 2	No. 6	No. 7	No. 8	No. 9	No. 10
47878	49762	39873	51513	48331	48263	43755	38502	49261	56252
48190	50467	39112	51577	49133	48425	44012	38877	49459	55752
48188	50444	38649	51066	49668	47778	43823	38938	49536	55711
47967	50452	37793	51182	49892	47096	44099	38819	50115	55505
48022	50721	37897	51071	49709	45724	44170	38977	49631	55376
50137	51220	37752	50089	50415	43404	44112	41513	49897	55366
50497	51669	37679	50439	50310	43657	44420	54519	49900	55263
50564	51848	37894	50234	50575	43218	44405	53887	49423	55603
(Note: all the brightness data in Table 1 are replaced by the gray value of the intercepted picture, no unit)

Table 1. Part of equivalent light curtain brightness data collected under static conditions on 10 experimental road sections

No. 1	No. 2	No. 3	No. 4	No. 2	No. 6	No. 7	No. 8	No. 9	No. 10
47977	52644	44989	51713	59169	52007	52608	47640	54384	64183
48291	52699	44506	51581	59816	52437	53079	48059	54139	63475
48696	52039	44451	50895	59968	52043	52923	48257	53758	63642
49065	51581	43884	50883	59398	51896	53247	48616	53765	64010
48825	51202	44128	50685	58814	51472	53564	49359	53133	63540
50421	51145	44645	49827	58208	50195	53334	50759	53258	63832
50786	51275	44566	50397	57332	50246	53780	60909	52958	63830
50579	51074	44919	50509	56948	50154	53609	60722	52351	64009
(Note: all the brightness data in Table 2 are replaced by the gray value of the intercepted picture, no unit)

Table 2. Part of the equivalent light curtain brightness data collected at 80 km/h on 10 experimental road sections

Vehicle speed /(km·h^-1)	30	40	50	60	70	80	90	100	110	120
Average ratio	1.00	1.02	1.03	1.04	1.07	1.10	1.13	1.14	1.15	1.16

Table 3. Table of average ratio of dynamic and static equivalent light curtain brightness at different driving speeds on 10 experimental road sections

Equation	Goodness offit R²	Varianceanalysis F
Logarithmic type	0.94	124.18
Power function type	0.95	137.58
Inverse function type	0.83	38.54
S-curve type	0.84	41.64
Exponential type	0.97	298.76

Table 4. Comparison table of fitting results of five functional models

Heng Zhang, Weidong Qiao, Jiaming Wang, Yi Li. Analysis of Influence of Change in Field of View on Dynamic Glare Evaluation[J]. Acta Optica Sinica, 2021, 41(17): 1733001

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