Validation of driving behavior in the Vehicle in the Loop: Steering responses in critical situations

Sieber, Markus; Berg, Guy; Karl, Ines; Siedersberger, Karl-Heinz; Siegel, Andreas; Färber, Berthold

doi:10.1109/itsc.2013.6728379

Cited by 8 publications

(5 citation statements)

References 10 publications

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“…To better understand how well our model can represent driver behavior close to the boundary of their comfort zone, data from more critical maneuvers are needed. Such data could be provided by a vehicle-in-the-loop system [53], [54], in which a driver could overtake a virtual cyclist while the virtual oncoming vehicle appears more critically, for instance, after a curve or at a higher speed than we had available.…”

Section: Limitationsmentioning

confidence: 99%

Modeling Drivers’ Strategy When Overtaking Cyclists in the Presence of Oncoming Traffic

Rasch

Dozza

2022

IEEE Trans. Intell. Transport. Syst.

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Section: Limitationsmentioning

confidence: 99%

Modeling Drivers’ Strategy When Overtaking Cyclists in the Presence of Oncoming Traffic

Rasch

Dozza

2022

IEEE Trans. Intell. Transport. Syst.

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“…However, the working algorithm of VIL for ADAS simulation was not published and only showed the environment in which the study was conducted. The studies in [17][18][19][20][21]31] use VIRES's Virtual Test Drive (VTD) without revealing the algorithm. [22,23] and [28] also constructed their VIL system with commercial simulation tools, CarMaker and CarSim.…”

Section: Vehicle In the Loopmentioning

confidence: 99%

“…= − (18) In addition, the curvature and curvature derivatives, which are line-specific information, can directly use the information defined in Table 3. These can be derived in advance through polynomial curve fitting, as shown in Figure 4b.…”

Section: = ( − ) + ( − )mentioning

confidence: 99%

“…Laschinsky has shown that it can be applied in the development of active safety lights to conduct tests in the daytime [17]. VIL is used for driver reaction of critical situations [18][19][20][21]. Additionally, Miquet and Schwab suggested VIL with a head-mounted display (HMD) device for the parking assistance system.…”

Section: Introductionmentioning

confidence: 99%

“…This information can be generally defined by the distance A L , incidence angle B L , the curvature of the lane C L , and the rate of curvature changing D L . The distances between the line and the ego vehicle and the incidence angle can be calculated using (17) and (18). The position x EGO FW , y EGO FW is generally defined as the center axis of the front wheel in the ego vehicle to obtain the relative distance.…”

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confidence: 99%

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Vehicle-in-the-Loop in Global Coordinates for Advanced Driver Assistance System

2020

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Most vehicle controllers are developed and verified with V-model. There are several traditional methods in the automotive industry called “X-in-the-Loop (XIL)”. However, the validation of advanced driver assistance system (ADAS) controllers is more complicated and needs more environmental resources because the controller interacts with the external environment of the vehicle. Vehicle-in-the-Loop (VIL) is a recently being developed approach for simulating ADAS vehicles that ensures the safety of critical test scenarios in real-world testing using virtual environments. This new test method needs both properties of traditional computer simulations and real-world vehicle tests. This paper presents a Vehicle-in-the-Loop topology for execution in global Coordinates system. Also, it has a modular structure with four parts: synchronization module, virtual environment, sensor emulator and visualizer, so each part can be developed and modified separately in combination with other parts. This structure of VIL is expected to save maintenance time and cost. This paper shows its acceptability by testing ADAS on both a real and the VIL system.

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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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Validation of driving behavior in the Vehicle in the Loop: Steering responses in critical situations

Cited by 8 publications

References 10 publications

Modeling Drivers’ Strategy When Overtaking Cyclists in the Presence of Oncoming Traffic

Modeling Drivers’ Strategy When Overtaking Cyclists in the Presence of Oncoming Traffic

Vehicle-in-the-Loop in Global Coordinates for Advanced Driver Assistance System

Vehicle in the Loop

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