Quantitative Evaluation of Attention to the Driving Environment During Automated Driving at Levels 3 using ERP: Evaluation of Psychophysiological State of Driver

2018 ◽  
Vol 138 (9) ◽  
pp. 1148-1153 ◽  
Author(s):  
Tomohiro Murase ◽  
Kosuke Oiwa ◽  
Akio Nozawa
Doklady BGUIR ◽  
2020 ◽  
Vol 18 (7) ◽  
pp. 40-46
Author(s):  
V. A. Dubovsky ◽  
V. V. Savchenko

The analysis of trends in the development of the automotive industry and well-known methods of automating vehicle control served the basis for us to propose an approach to organizing the transfer of vehicle control from an automated driving system to a person. The approach involves monitoring the vehicle performance and the systems that provide automated driving, the state of the environment and the driver's psychophysiological state, as well as road conditions on the upcoming path, predicting the place and time of transition of control to the driver, determining and regulating his/her readiness to take control if necessary. This approach is peculiar for in time of automated driving, the minimum level of the driver's readiness to operate the vehicle is constantly maintained, which is brought to optimal within a certain time before the scheduled transition to manual control. This two-level monitoring of the condition of drivers of highly automated vehicles will improve road safety both in cases of predicted and unexpected need for an emergency transition from automated to manual driving. The aim of the work is to develop a methodology for improving road safety with highly automated vehicles involved.


2020 ◽  
Vol 2020 (28) ◽  
pp. 288-292
Author(s):  
Korbinian Weikl ◽  
Damien Schroeder ◽  
Walter Stechele

Traffic light (TL) classification is an important feature for automated driving, and it requires correct color separation of the TL signals captured using cameras. A key camera component for the color separation performance is the color filter array (CFA). For common automotive-specific CFAs, we have observed unsatisfactory performance for TL color separation, which indicates the need for an optimization. Based on typical scenarios for TL classification and a set of recorded TL signals, we evaluate the performance of common automotive CFAs. For a quantitative evaluation, we propose a suitable color distance metric. We also propose a method for optimization of the CFA and show that using this method, reference color separation performance can be achieved, trading in only a small amount of sensitivity.


Physica ◽  
1952 ◽  
Vol 18 (2) ◽  
pp. 1147-1150
Author(s):  
D MAEDER ◽  
V WINTERSTEIGER

2017 ◽  
Author(s):  
Francesca Serra ◽  
Andrea Spoto ◽  
Marta Ghisi ◽  
Giulio Vidotto

2000 ◽  
Vol 05 (2) ◽  
pp. 129-138
Author(s):  
Robert A. Luhm ◽  
Daniel B. Bellissimo ◽  
Arejas J. Uzgiris ◽  
William R. Drobyski ◽  
Martin J. Hessner

1987 ◽  
Vol 26 (06) ◽  
pp. 234-240 ◽  
Author(s):  
H. Stirner ◽  
J. Dahl ◽  
R. Uebis ◽  
E. Kleinhans ◽  
M. Biedermann ◽  
...  

ROI-based polar maps (33 ROIs) were employed to evaluate quantitatively stress/rest myocardial 201TI SPECT in 108 patients with angiographically proven coronary heart disease (CHD) in comparison with 30 controls. Sensitivity in detecting a CHD with stenoses of > 50% of luminal diameter was determined versus normal regional values (± 2.5 SD) employing vitality (VI) and wash-out corrected redistribution (RD). The method was evaluated referring to the severity of the disease, to the number of ROIs displaying changes [(a) 1 ROI, (b) >2 ROIs], to validity of VI, RD or a combination thereof, and for specificity. Wash-out values were found to depend on degree of stress individually achieved and thus were not used as a threshold criterion. Sensitivity in supply areas with old myocardial infarctions was 95% (a) and 86% (b), resp. With no infarction, it was 96% (a) and 79% (b), resp. VI in stenosis > 75% was more sensitive than RD. However, combined evaluation of VI and RD yielded sensitivities from 91-100% (a) and 77-94% (b), resp. for different main supply areas. In stenosis < 50% with normal VI, RD was positive in 18-31 %. Specificity turned out to be 91 % (a) and 97% (b), resp. We conclude that the method presented is reliable to quantify numerically 201TI kinetics in myocardial SPECT, aimed at detecting and describing CHD.


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