scholarly journals Mixed-Method Design for User Behavior Evaluation of Automated Driver Assistance Systems: An Automotive Industry Case

2019 ◽  
Vol 1 (1) ◽  
pp. 1803-1812 ◽  
Author(s):  
Julia Orlovska ◽  
Fjolle Novakazi ◽  
Casper Wickman ◽  
Rikard Soderberg
Keyword(s):  
Automotive Industry ◽  
User Behavior ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Subjective Data ◽  
Automotive Systems ◽  
Mixed Method Design ◽  
Stressful Experience ◽  
Assistance Systems ◽  
Depth Interviews

AbstractAutomotive systems are changing rapidly from purely mechanical to smart, programmable assistants. These systems react and respond to the driving environment and communicate with other subsystems for better driver support and safety. However, instead of supporting, the complexity of such systems can result in a stressful experience for the driver, adding to the workload. Hence, a poorly designed system, from a usability and user experience perspective, can lead to reduced usage or even ignorance of the provided functionalities, especially concerning Adaptive Driver Assistance Systems.In this paper, the authors propose a combined design approach for user behavior evaluation of such systems. At the core of the design is a mixed methods approach, where objective data, which is automatically collected in vehicles, is augmented with subjective data, which is gathered through in- depth interviews with end-users. The aim of the proposed methodology design is to improve current practices on user behavior evaluation, achieve a deeper understanding of driver's behavior, and improve the validity and rigor of the named results.

Unsettled Issues on Sensor Calibration for Automotive Aftermarket Advanced Driver-Assistance Systems

2021 ◽  
Author(s):  
John Waraniak ◽  
Keyword(s):  
Automotive Industry ◽  
Road User ◽  
Sensor Calibration ◽  
Market Penetration ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Advanced Driver Assistance Systems ◽  
Assistance Systems ◽  
And Performance ◽  
Automotive Aftermarket

Many automotive industry safety advocates have been pushing for greater market penetration for active safety and advanced driver-assistance systems (ADAS), with the goal of ending deaths due to car crashes. However, there are far-reaching implications for the collision repair, specialty equipment, and performance aftermarket sectors—after a collision or modification, the ADAS system functionality must be preserved to maintain, driver, passenger, and road user safety. To do this, sensor recalibration and ADAS functional safety validation and documentation after repair, modification, or accessorizing are necessary. Unsettled Issues on Sensor Calibration for Automotive Aftermarket ADAS tackles the challenges of accelerating the pace of ADAS implementation; increasing industry understanding of systems, sensors, software, controllers; and minimizing the overwhelming variety of sensor calibration procedures and automaker targets. Additionally, this report addresses the liability concerns that are challenging the industry as it seeks to move forward safely.

scholarly journals Optimization of AUTOSAR Communication Stack in the Context of Advanced Driver Assistance Systems

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4561
Author(s):  
Răzvan Bogdan ◽  
Mihaela Crișan-Vida ◽  
Darius Barmayoun ◽  
Loredana Lavinia Staicu ◽  
Robert Valentin Puiu ◽  
...  
Keyword(s):  
Automotive Industry ◽  
Autonomous Driving ◽  
Data Traffic ◽  
Performance Measurements ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Radar Sensors ◽  
Traffic Volumes ◽  
Assistance Systems ◽  
Communication Traffic

New trends in the automotive industry such as autonomous driving and Car2X require a large amount of data to be exchanged between different devices. Radar sensors are key components in developing vehicles of the future, therefore these devices are used in a large spectrum of applications, where data traffic is of paramount importance. As a result, communication traffic volumes have become more complex, leading to the research of optimization approaches to be applied at the AUTOSAR level. Our paper offers such an optimization solution at the AUTOSAR communication level. The radar sensor is accessed in a remote manner, and the experiments aimed at performance measurements revealed that our solution is superior to the Full AUTOSAR implementation in terms of memory usage and runtime measurements.

scholarly journals Advanced Driver Assistant Systems Focused on Pedestrians’ Safety: A User Experience Approach

2021 ◽  
Vol 13 (8) ◽  
pp. 4264
Author(s):  
Matúš Šucha ◽  
Ralf Risser ◽  
Kristýna Honzíčková
Keyword(s):  
Autonomous Vehicles ◽  
Qualitative Data ◽  
Expert Interviews ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Assistant Systems ◽  
Vehicle Technology ◽  
Assistance Systems ◽  
Technical Solutions ◽  
Near Future

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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