Reduction of discomfort glare through relative positioning of LED luminary and observer

2021 ◽  
Author(s):  
P. R. Yawale ◽  
V. G. Wagh ◽  
A. D. Shaligram
GPS Solutions ◽  
2021 ◽  
Vol 25 (3) ◽  
Author(s):  
Mingkun Su ◽  
Yanxi Yang ◽  
Lei Qiao ◽  
Hao Ma ◽  
WeiJun Feng ◽  
...  

2009 ◽  
Vol 121 (2) ◽  
pp. 99-110 ◽  
Author(s):  
MATT GARRATT ◽  
HEMANSHU POTA ◽  
ANDREW LAMBERT ◽  
SEBASTIEN ECKERSLEY-MASLIN ◽  
CLEMENT FARABET

1994 ◽  
Vol 26 (5) ◽  
pp. 366-378 ◽  
Author(s):  
Rajneet Sodhi ◽  
Joshua U. Turner

2021 ◽  
pp. 147715352098353
Author(s):  
C Pierson ◽  
B Piderit ◽  
T Iwata ◽  
M Bodart ◽  
J Wienold

Exposure to daylight has much to offer and should be optimised to maximise its potential. In order to harvest its benefits, any visual discomfort from daylight should be anticipated and minimised. Hence, there is the need to predict discomfort from daylight glare. While more than 20 models for predicting discomfort from daylight glare have been developed, none accurately predict it. The inclusion of additional factors in the models may improve the predictions. One such factor is the socio-environmental context of the observer. This study compares the evaluations of discomfort glare from daylight for office buildings in four socio-environmental contexts: Chile, Belgium, Japan and Switzerland. The evaluations of discomfort glare, each consisting of subjective assessments and physical measurements of a view condition, were collected at the office desks of 401 participants, although only 211 responses were used in the analyses due to exclusion rules. The results do not suggest evidence of an influence of socio-environmental context on discomfort from daylight glare. In other words, the participants in this study perceived discomfort glare similarly, regardless of their socio-environmental context.


2017 ◽  
Vol 70 (6) ◽  
pp. 1276-1292
Author(s):  
Chong Yu ◽  
Jiyuan Cai ◽  
Qingyu Chen

To achieve more accurate navigation performance in the landing process, a multi-resolution visual positioning technique is proposed for landing assistance of an Unmanned Aerial System (UAS). This technique uses a captured image of an artificial landmark (e.g. barcode) to provide relative positioning information in the X, Y and Z axes, and yaw, roll and pitch orientations. A multi-resolution coding algorithm is designed to ensure the UAS will not lose the detection of the landing target due to limited visual angles or camera resolution. Simulation and real world experiments prove the performance of the proposed technique in positioning accuracy, detection accuracy, and navigation effect. Two types of UAS are used to verify the generalisation of the proposed technique. Comparison experiments to state-of-the-art techniques are also included with the results analysis.


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