Adaptive importance sampling for probabilistic validation of advanced driver assistance systems

We present an approach for validation of advanced driver assistance systems, based on randomized algorithms. The new method consists of an iterative randomized simulation using adaptive importance sampling. The randomized algorithm is more efficient than conventional simulation techniques. The importance sampling pdf is estimated by a kernel density estimate, based on the results from the previous iteration. The concept is illustrated with a simple adaptive cruise control problem

Testing advanced driver assistance systems for fault management with the VEHIL test facility

This paper presents a methodological approach for validation of advanced driver assistance systems (ADASs), especially concerning fault management. Tools in this methodology are the unique VEhicle-Hardware-In-the-Loop (VEHIL) test facility and the associated simulation tool PRESCAN. With VEHIL the development process and more specifically the validation phase of intelligent vehicles can be carried out safer, cheaper, more manageable, and more reliable. In VEHIL a complete vehicle is tested in the simulation loop, such that the safety and reliability of an ADAS can be tested to great accuracy and reliability

VEHIL: a test facility for validation of fault management systems for advanced driver assistance systems

We present a methodological approach for the validation of fault management systems for Advanced Driver Assistance Systems (ADAS). For the validation process the unique VEHIL facility, developed by TNO Automotive and currently situated in Helmond, The Netherlands, is applied. The VEHIL facility provides the opportunity to make the entire development process of intelligent vehicles safer, cheaper, and more manageable, and to make simulation more reliable. The main feature of VEHIL is that a complete intelligent vehicle, including its sensors and actuators, can be tested in a Hardware-In-the-Loop simulation environment. In this way VEHIL can be applied in the design phase for fast and easy optimization of the sensor configuration. Moreover, due to its ability for providing very accurately controllable testing conditions, VEHIL can also be used for the validation of the performance of intelligent vehicle control and fault management systems. In this paper, we particularly focus on the use of VEHIL for the validation of fault management systems for Advanced Driver Assistance Systems

VEHIL : test facility for fault management testing of advanced driver assistance systems

This paper presents the latest developments of the VEHIL facility, which aims to make the development process of intelligent vehicles safer, cheaper and more manageable. The main feature of VEHIL is that a complete intelligent vehicle can be tested in a hardware-in-the-loop simulation environment. The use of VEHIL will be illustrated by preliminary test results of a Pre-Crash System. Furthermore, a methodological approach will be presented for the validation of fault management systems for Advanced Driver Assistance Systems by fault injection in VEHIL