scholarly journals THE USE OF VEHICLE DATA IN ADAS DEVELOPMENT, VERIFICATION AND FOLLOW-UP ON THE SYSTEM

2020 ◽  
Vol 1 ◽  
pp. 2551-2560
Author(s):  
J. Orlovska ◽  
C. Wickman ◽  
R. Soderberg
Keyword(s):  
Data Driven ◽  
Context Aware ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Volvo Cars ◽  
Vehicle Data ◽  
Assistance Systems ◽  
High Level

AbstractAdvanced Driver Assistance Systems (ADAS) require a high level of interaction between the driver and the system, depending on driving context at a particular moment. Context-aware ADAS evaluation based on vehicle data is the most prominent way to assess the complexity of ADAS interactions. In this study, we conducted interviews with the ADAS development team at Volvo Cars to understand the role of vehicle data in the ADAS development and evaluation. The interviews’ analysis reveals strategies for improvement of current practices for vehicle data-driven ADAS evaluation.

scholarly journals The Driving Lesson as a Socio-Technical Situation. A Case Study on the Interaction between Learner Driver, Driving Instructor, and the Motor Car

2021 ◽  
Vol 17 (2) ◽  
pp. 6-21
Author(s):  
Alexander Schmidl
Keyword(s):  
Detailed Analysis ◽  
Human Body ◽  
Technical Information ◽  
Theoretical Background ◽  
The Body ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Assistance Systems

A micro-sociological examination of the driving lesson raises the following question: How is the interaction between learner driver and driving instructor structured in this technical setting, and what meaning can be ascribed in this threefold constellation to the vehicle with its various technical elements? This case study examines the orientation patterns which exist between the learner driver, the driving instructor, and the car, which together constitute a socio-technical triangle, and what actions the learner driver needs to learn to enable them to drive the car safely. The theoretical background to the study is provided by interactionist theories, which have been broadened to include a greater sensitivity for the body and technology, and a sociological reading of postphenomenology. Using a method based on this theoretical background and informed by workplace studies, this study observed and made audiovisual recordings of driving lessons. This approach made it possible to undertake a detailed analysis of the situations, reveal how the human body interacts with technology, and how a person’s attention responds to technical information. In these situations, the driving instructor takes on the role of the translator by mediating between various situational definitions—one’s own, that of the inexperienced learner driver, other motorists, and the driver assistance systems in the car. The driving instructor represents the driving school as an institution that is responsible for creating an intersubjectively arranged understanding of how to deal with technology and socio-technical situations.

scholarly journals Virtual sensor models for real-time applications

2016 ◽  
Vol 14 ◽  
pp. 31-37 ◽  
Author(s):  
Nils Hirsenkorn ◽  
Timo Hanke ◽  
Andreas Rauch ◽  
Bernhard Dehlink ◽  
Ralph Rasshofer ◽  
...  
Keyword(s):  
Real Time ◽  
Statistical Data ◽  
Position Estimation ◽  
Data Driven ◽  
Driver Assistance ◽  
Automotive Radar ◽  
Driver Assistance Systems ◽  
Sensor Model ◽  
Sensor Models ◽  
Assistance Systems

Abstract. Increased complexity and severity of future driver assistance systems demand extensive testing and validation. As supplement to road tests, driving simulations offer various benefits. For driver assistance functions the perception of the sensors is crucial. Therefore, sensors also have to be modeled. In this contribution, a statistical data-driven sensor-model, is described. The state-space based method is capable of modeling various types behavior. In this contribution, the modeling of the position estimation of an automotive radar system, including autocorrelations, is presented. For rendering real-time capability, an efficient implementation is presented.

Incorporating Operator States in Driver Assistance Systems Control

2009 ◽  
Author(s):  
Jeffrey Breugelmans ◽  
Yingzi Lin ◽  
Hua Cai
Keyword(s):  
User Interaction ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Human In The Loop ◽  
Systems And Control ◽  
Assistance Systems ◽  
Output Behavior ◽  
And Control ◽  
Distinctive Role

In recent years, the human-in-the-loop principle has been an emerging topic throughout the field of dynamic systems and control. Within this field, Human Assistance Systems (HAS) have become increasingly important and the driving environment, in particular, tends to play a distinctive role. Previous studies mainly aimed at making assistance systems as efficient as possible, reducing the possibility for errors (collisions) to a great extent. Due to this performance-oriented approach, however, former systems tend to take up the role of a strict supervisor, rather than that of a guide-like operator assistant. This research focuses on expanding the HAS’ contribution to the control loop by incorporating both the operator state and an additional assistance level into the system’s output behavior, thereby aiming to advance the systems in terms of user interaction and satisfaction. As a result, system efficiency will be maintained, while simultaneously sustaining the operator’s perceived level of control.

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