State of the art and simulation of motion cueing algorithms for a six degree of freedom driving simulator

Stahl, Konrad; Abdulsamad, Gobir; Leimbach, K.-D.; Vershinin, Yuri

doi:10.1109/itsc.2014.6957745

Cited by 12 publications

(3 citation statements)

References 3 publications

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“…Nevertheless, this review is interested in contributions designed for all kinds of vehicles, while other works only review MCA for a particular application (Garrett & Best, 2010). In addition, not only the algorithms are reviewed, as in (Stahl, Abdulsamad, Leimbach, & Vershinin, 2014), but also the evaluation and tuning of these algorithms are depicted.…”

Section: Objectives and Paper Outlinementioning

confidence: 99%

Motion Cueing Algorithms: A Review

Casas

Olanda

Dey

2017

International Journal of Virtual and Augmented Reality

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Robotic motion platforms are commonly used in motion-based vehicle simulation. However, the reproduction of realistic accelerations within a reduced workspace is a major challenge. Thus, high-level control strategies commonly referred to as motion cueing algorithms (MCA) are required to convert the simulated vehicle physical state into actual motion for the motion platform. This paper reviews the most important strategies for the generation of motion cues in simulators, listing the advantages and drawbacks of the different solutions. The motion cueing problem, a general scheme and the four most common approaches – classical washout, adaptive washout, optimal control and model predictive control – are presented. The existing surveys of the state-of-the-art on motion cueing are usually limited to list the MCA or to a particular vehicle application. In this work, a comprehensive vehicle-agnostic review is presented. Moreover, evaluation and tuning of MCA are also considered, classifying the different methods, and providing examples of each class.

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Section: Objectives and Paper Outlinementioning

confidence: 99%

Motion Cueing Algorithms: A Review

Casas

Olanda

Dey

2017

International Journal of Virtual and Augmented Reality

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“…Existen numerosos tipos de algoritmos de washout que se aproximan al problema de manera diferente (Stahl, Abdulsamad et al 2014) aunque todos ellos hacen uso de una serie de principios básicos comunes. La primera idea es reproducir los mismos movimientos que el vehículo virtual, pero a menor escala, reduciendo su intensidad en un factor prefijado.…”

Section: Algoritmos De Washout/mcaunclassified

Heurísticas para el Ajuste de Algoritmos de Control de Plataformas Robóticas de Movimiento en Simuladores

Casas

Portalés

Riera

et al. 2017

Revista Iberoamericana de Automática e Informática Industrial R

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Diversos tipos de plataformas robóticas son empleadas habitualmente para la generación de claves gravito-inerciales en simuladores. Además del control de los actuadores, dichas plataformas deben ejecutar complejos algoritmos de control conocidos como algoritmos de washout, que deben ser ajustados para que el movimiento generado sea similar al simulado. El ajuste de dichos algoritmos es complejo por el elevado número de parámetros que poseen. Además, dicho ajuste se ha venido realizando tradicionalmente de modo manual mediante evaluaciones subjetivas. En este trabajo, los autores proponen un método automático de ajuste basado en optimización heurística, métricas objetivas, y simulación de la plataforma robótica para conseguir realizar el ajuste de manera más rápida. Se valida la corrección de las soluciones, y se comparan diversas técnicas de optimización, para concluir que la técnica más apropiada es la de los algoritmos genéticos.

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“…The washout filter is a necessary linking part between the movements of the actual vehicle and the simulator, and the washout position is an important reference point between the parameters of actual movement and the washout algorithm input, having a great influence on the simulator [7].…”

Section: Washout Filter and Washout Positionmentioning

confidence: 99%