Hardware-In-the-Loop Simulator with Auto Building Vehicle Model for Adaptive Cruise Control System

Ichinose, Masaya; Yokoyama, Akira; Nishigaito, Takaomi; Saito, Hiroyuki; Iwanuma, Daisuke

doi:10.4271/2004-01-1243

Cited by 1 publication

(1 citation statement)

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“…Nevertheless, as pointed out in [5], the high cost for constructing and maintaining a traffic simulator, as well as large utilisation expense, restricts its application in the development of DAS. With respect to the operating analysis and testing of DAS hardware, most existing HIL simulation test-beds adopt dSPACE as their simulators, for example, ACC simulator in Hitachi Ltd. [6], ACC simulator in Nissan Ltd. [7] and FCW test-bed in Hanyang University [8]. This type of system is highly integrated and convenient for customers, but its cost is unaffordable for most research institutes.…”

Section: Introductionmentioning

confidence: 99%

Driving simulation platform applied to develop driving assistance systems

Wang

Xiaoyu

et al. 2010

IET Intell. Transp. Syst.

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This study presents a driving simulation platform with low cost for the development of driving assistance systems (DAS). The platform uses a combination of two simulation loops: hardware-in-the-loop (HIL) and driver-in-the-loop (DIL). Its hardware consists of a simulation computer, a monitor computer, a vision computer, DAS actuators and a car mock-up. Its main software includes a monitor software running in the monitor computer, a vision rendering software running in the vision computer and Matlab/Simulink-based simulation model running in simulation computer. When designing its monitor software, a graphical user interface driven-by S-function method is adopted to eliminate the delay in the displaying of the simulation data. The vision rendering software uses a parametric adjustment method based on the principle of optical projection, improving the driver's perception of being immersed in the virtual traffic scene. The application of the developed platform is demonstrated by HIL experiments of vehicle actuators and DIL experiments of adaptive cruise control (ACC) algorithm. These experiments not only demonstrate the potential merit of the platform of speeding up DAS development, but also illustrate that the proposed control algorithms for actuators possess good tracking capability, as well as that the developed ACC algorithm is capable of improving driver comfort and reducing driver workload.

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Section: Introductionmentioning

confidence: 99%