On surveillance for safety critical events: In-vehicle video networks for predictive driver assistance systems

2015 ◽  
Vol 134 ◽  
pp. 130-140 ◽  
Author(s):  
Eshed Ohn-Bar ◽  
Ashish Tawari ◽  
Sujitha Martin ◽  
Mohan M. Trivedi
2019 ◽  
Vol 109 (04) ◽  
pp. 211-215
Author(s):  
R. Müller ◽  
L. Schirmer ◽  
M. Scholer

Mit der Übernahme sicherheitskritischer Funktionen durch technische Systeme, wie zum Beispiel Fahrerassistenzsysteme, werden Methoden zur Funktionsabsicherung immer wichtiger. Eine diese Methoden ist der Key Characteristics Flowdown, der eine Visualisierung und Analyse der Schlüsselmerkmale sowie deren Zusammenhänge ermöglicht. Um die Nutzung der Methode systematischer zu gestalten sowie den Zeitaufwand zu reduzieren, wird in dem Beitrag eine Modularisierung der Merkmale für Betriebsmittel in der Montage vorgestellt.   With the execution of safety-critical functions by technical systems, e.g. driver assistance systems, methods for safeguarding are becoming increasingly important. One of these methods is the Key Characteristics Flowdown, which enables a visualization and analysis of key characteristics and their interrelations. In order to enable a more systematic use of the method and to reduce the required time, the article presents a modularization of the features for assembly equipment.


2021 ◽  
Vol 13 (8) ◽  
pp. 4264
Author(s):  
Matúš Šucha ◽  
Ralf Risser ◽  
Kristýna Honzíčková

Globally, pedestrians represent 23% of all road deaths. Many solutions to protect pedestrians are proposed; in this paper, we focus on technical solutions of the ADAS–Advanced Driver Assistance Systems–type. Concerning the interaction between drivers and pedestrians, we want to have a closer look at two aspects: how to protect pedestrians with the help of vehicle technology, and how pedestrians–but also car drivers–perceive and accept such technology. The aim of the present study was to analyze and describe the experiences, needs, and preferences of pedestrians–and drivers–in connection with ADAS, or in other words, how ADAS should work in such a way that it would protect pedestrians and make walking more relaxed. Moreover, we interviewed experts in the field in order to check if, in the near future, the needs and preferences of pedestrians and drivers can be met by new generations of ADAS. A combination of different methods, specifically, an original questionnaire, on-the-spot interviewing, and expert interviews, was used to collect data. The qualitative data was analyzed using qualitative text analysis (clustering and categorization). The questionnaire for drivers was answered by a total of 70 respondents, while a total of 60 pedestrians agreed to complete questionnaires concerning pedestrian safety. Expert interviews (five interviews) were conducted by means of personal interviews, approximately one hour in duration. We conclude that systems to protect pedestrians–to avoid collisions of cars with pedestrians–are considered useful by all groups, though with somewhat different implications. With respect to the features of such systems, the considerations are very heterogeneous, and experimentation is needed in order to develop optimal systems, but a decisive argument put forward by some of the experts is that autonomous vehicles will have to be programmed extremely defensively. Given this argument, we conclude that we will need more discussion concerning typical interaction situations in order to find solutions that allow traffic to work both smoothly and safely.


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