Pre-crash system validation with PRESCAN and VEHIL

Gietelink, OJ; Verburg, D.J.; Labibes, K.; Oostendorp, A.F.

doi:10.1109/ivs.2004.1336507

Cited by 28 publications

(25 citation statements)

References 2 publications

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“…VEHIL provides a solution for testing a full-scale intelligent vehicle in a HIL environment [30]. The VEHIL concept was first described in [31], patented in [32], and some preliminary test results have been presented in [33][34][35][36]. This paper presents the VEHIL working principle in more detail and discusses the added value and position in the ADAS development process based on new test results.…”

Section: Vehicle Hardware-in-the-loop (Vehil) Simulationsmentioning

confidence: 99%

“…Here, l is the wheelbase, h is the height of the centre of gravity, and h i the height of the roll centre at the i-th axle. The driver input (T drive (t), T brake (t), and δ i j (t)) to the vehicle model defines the traffic scenario that is simulated as a function of time t. The VEHIL scenario library contains a database of traffic scenarios, such as following, tailgating, cut-ins, lane changes, collisions, and near-miss scenarios, created from in-depth accident analysis [35]. The PRESCAN simulation tool, briefly mentioned in section 2.2, is used for scenario definition and simulation before the actual VEHIL test takes place, based on the same multi-agent approach.…”

Section: Vehicle Modellingmentioning

confidence: 99%

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Hardware‐in‐the‐Loop Simulations

Burbank

Kasch

Ward

2011

An Introduction to Network Modeling and Simulation for the Practicing Engineer

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Section: Vehicle Hardware-in-the-loop (Vehil) Simulationsmentioning

confidence: 99%

Section: Vehicle Modellingmentioning

confidence: 99%

Hardware‐in‐the‐Loop Simulations

Burbank

Kasch

Ward

2011

An Introduction to Network Modeling and Simulation for the Practicing Engineer

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“…There are many groups currently researching Collision Avoidance Systems (CAS), which attempt to detect vehicles in the nearby area and estimate the risk of a collision (some examples include [11], [6], [7], [8]). Detection of the other vehicles can be either using sensors such as radar, stereo cameras, laser, etc, or using radio communication to broadcast the vehicle state wirelessly.…”

Section: A Metric For Safetymentioning

confidence: 99%

Determining high safety risk scenarios by applying context information

Orchansky¹,

Masson²,

Nieto³

et al. 2010

jopha

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Abstract-When mining vehicle operators take risks, there is a increased probability of an accident that can cause injuries, fatalities and large financial costs to the mine operators. It can be assumed that the operators do not intentially take unnecessarily high risk, and that the risks are hidden due to factors such as adverse weather, fatigue, visual obstructions, boredom, etc. This paper examines the potential of measuring the risk of danger in a multi-agent situation by using the safe rules of operation defined by mining safety management.The problem with measuring safety is that the safe rules of operation are heavily dependent on the context of the situation. What is considered normal practice and safe in one part of the mine (such as performing a u-turn in a parking lot) is not safe on a haul road. To be able to measure safety, it is therefore necessary to understand the different context areas in a mine so that feedback of unsafe behaviour presented to the operator is relevant to the context of the situation. This paper presents a novel method for generating context area information using the vehicle trajectory information collected from a group of vehicles interacting in an area. Results are presented using real-life data collected from several operating fleets of mining vehicles. The algorithms presented have potential application to a large variety of environments including Intelligent Transportation Systems (ITS).

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“…In order to improve the transition from simulations to test drives, TNO has developed the VEhicle-Hardware-Inthe-Loop (VEHIL) facility, a laboratory for testing ADASs. In VEHIL a real ADAS-equipped vehicle is tested in a hardware-in-the-loop simulation, providing accurate and repeatable tests, as is explained in detail in (Gietelink et al, 2004). With VEHIL the validation of ADASs can be carried out safer, cheaper, more manageable, and more reliable.…”

Section: Validation Of Adas Control Systemsmentioning

confidence: 99%

Probabilistic Validation of Advanced Driver Assistance Systems

Gietelink

Schutter

Verhaegen

2005

IFAC Proceedings Volumes

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We present a methodological approach for validation of advanced driver assistance systems, based on randomized algorithms. The new methodology is more efficient than conventional validation by simulations and field tests, especially with increasing system complexity. The methodology consists of first specifying the perturbation set and performance criteria. Then a minimum required number of samples and a relevant sampling space is selected. Next an iterative randomized simulation is executed, followed by validation with hardware tests. The concept is illustrated with a simple adaptive cruise control problem.

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Pre-crash system validation with PRESCAN and VEHIL

Cited by 28 publications

References 2 publications

Hardware‐in‐the‐Loop Simulations

Hardware‐in‐the‐Loop Simulations

Determining high safety risk scenarios by applying context information

Probabilistic Validation of Advanced Driver Assistance Systems

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