Vehicle in the Loop

Berg, Guy; Nitsch, Verena; Färber, Berthold

doi:10.1007/978-3-319-12352-3_10

Cited by 8 publications

(3 citation statements)

References 4 publications

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“…To provide a realistic driving scenario and vehicle setup, a recently modified version of the Vehicle-in-the-Loop (VIL) model was used. The VIL combines the driver immersion in a virtual environment with the experience of realistic dynamic forces and auditory feedback of a real test vehicle on a test track (Berg et al, 2016; Bock, 2012). While the driver actually moves the vehicle over the test track using real control elements (such as the steering wheel and pedals), the visual channel is detached from reality.…”

Section: Methodsmentioning

confidence: 99%

Effects of Gesture-Based Interaction on Driving Behavior: A Driving Simulator Study Using the Projection-Based Vehicle-in-the-Loop

Graichen

Krems

2020

Hum Factors

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Objective We observe the driving performance effects of gesture-based interaction (GBI) versus touch-based interaction (TBI) for in-vehicle information systems (IVISs). Background As a contributing factor to a number of traffic accidents, driver distraction is a significant problem for traffic safety. More specifically, visual distraction has a strong negative impact on driving performance and risk perception. Thus, the implementation of new interaction systems that use midair gestures to encourage glance-free interactions could reduce visual distraction among drivers. Methods In this experiment, participants drove a projection-based Vehicle-in-the-Loop. The projection-based technology combines a visual simulation with kinesthetic, vestibular, and auditory feedback from a car on a test track. While driving, participants used GBI or TBI to perform IVIS tasks. To investigate driving behavior related to critical driving situations and car-following maneuvers, vehicle data based upon longitudinal and lateral driving were collected. Results Participants reacted faster to critical driving situations when using GBI compared to TBI. For drivers using TBI, steering performance decreased and time headway to a preceding vehicle was higher. Conclusion Gestures provide a safe alternative to in-vehicle interactions. Moreover, GBI has fewer effects on driver distraction than TBI. Application Potential applications of this research include all in-vehicle interaction systems used by drivers.

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Section: Methodsmentioning

confidence: 99%

Effects of Gesture-Based Interaction on Driving Behavior: A Driving Simulator Study Using the Projection-Based Vehicle-in-the-Loop

Graichen

Krems

2020

Hum Factors

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“…The former aims to track a predefined (spline) path while the latter generates a path and a trajectory using mathematical vehicle models and online optimization methods in combination with modelpredictive control, see, e.g., [7]. In both, path tracking and path planning, the aim is to realize the feedback law µ i in (2). Currently, a dynamic inversion controller and a linear model-predictive controller are used for path tracking, see [5,3] for details.…”

Section: Control and Path Planningmentioning

confidence: 99%

“…This option allows to run simulation and real vehicle motion in parallel in order to overlap the two motions with the aim to design accurate digital twins. At the same time it allows to simulate a virtual world for a research vehicle at the Universität der Bundeswehr called Vehicle-in-the-loop [1,2]. This research platform is based on a real car (Audi A6 Avant) and uses virtual environments to couple real driving experience and virtual scenarios.…”

Section: Current Developments and Future Extensionsmentioning

confidence: 99%

ROCS: A Realtime Optimization and Control Simulator

Britzelmeier,

Gerdts,

Moslehi Rad

et al. 2020

Proceedings ASIM SST 2020

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The Realtime Optimization and Control Simulator (ROCS) is a software package written with Qt. It is conceived to be a versatile tool to develop, investigate, and visualize control and trajectory optimization tasks for automated vehicles, aircrafts, and robots in multi-modal scenarios. It is also conceived as a platform which allows to combine real driving data with virtual simulation using a vehicle in the loop.

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Vehicle in the Loop

Berg¹,

Nitsch²,

Färber³

2015

Handbook of Driver Assistance Systems

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Modern driver assistance systems are designed to intervene actively during driving in order to avoid an imminent accident or to reduce potentially health-threatening consequences of an accident. Due to the severe risks that are associated with such interventions in critical situations, it is of paramount importance that these systems are evaluated thoroughly in the development stage, with methods that not only demonstrate technical functionality but also take into account the behavior of the driver as he/she interacts with the technology. With increasing complexity and criticality of the driving situation, in which an assistance system is supposed to intervene, it becomes increasingly difficult to test the interaction of system performance and driver behavior reliably and safely. The vehicle in the loop (VIL) combines a virtual visual simulation with the kinesthetic, vestibular, and auditory feedback of a real car. As such, the VIL offers a variety of new options for evaluating driver assistance systems. Thus, the VIL constitutes a viable alternative to established evaluation methods such as field studies and conventional simulators. The VIL was developed on the basis of empirical evaluations. The present article describes this development process and discusses its potential for future development.

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Vehicle in the Loop

Cited by 8 publications

References 4 publications

Effects of Gesture-Based Interaction on Driving Behavior: A Driving Simulator Study Using the Projection-Based Vehicle-in-the-Loop

Effects of Gesture-Based Interaction on Driving Behavior: A Driving Simulator Study Using the Projection-Based Vehicle-in-the-Loop

ROCS: A Realtime Optimization and Control Simulator

Vehicle in the Loop

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