Comparison of Three Motion Cueing Algorithms for Curve Driving in an Urban Environment

Abstract

Research on new automotive systems currently relies on car driving simulators, as they are a cheaper, faster, and safer alternative to tests on real tracks. However, there is increasing concern about the motion cues provided in the simulator and their influence on the validity of these studies. Especially for curve driving, providing large sustained acceleration is difficult in the limited motion space of simulators. Recently built simulators, such as Desdemona, offer a large motion space showing great potential as automotive simulators. The goal of this research is: first, to develop a motion drive algorithm for urban curve driving in the Desdemona simulator; and second, to evaluate the solution through a simulator driving experiment. The developed algorithm, the one-to-one yaw algorithm, is compared to a classical washout algorithm (adapted to the Desdemona motion space) and a control condition where only road rumble is provided. Results show that regarding lateral motion, the absence of cues in the rumble condition is preferred over the presence of false cues in the classical algorithm. "No motion" seems to be favored over "bad motion." In terms of longitudinal motion, the one-to-one yaw and the classical algorithm are voted better than the rumble condition, showing that the addition of motion cues is beneficial to the simulation of braking. In a general way, the one-to-one yaw algorithm is classified better than the other two algorithms.

Tuning of the Lateral Specific Force Gain Based on Human Motion Perception in the Desdemona Simulator

“…1,5,6 Groen et al 3 when simulating a take off run found a preferred motion gain of 0.2 for the surge motion of the simulator. The amplitude of the reference signal was 3.5 m/s 2 , which is higher than what was used in this experiment.…”

“…Subjects were presented with lateral translational movements, where they had to match the inertial information with the visual information. The use of lateral cues allows for the comparison of the obtained scaling values with previous experiments conducted in Desdemona 1,5,6 where similar motion profiles were used. The visual information was displayed via the simulator's projectors while the inertial information was generated using the motion platform.…”

Driver Behavior Comparison Between Static and Dynamic Simulation for Advanced Driving Maneuvers

“…During the motion profile, the simulator cabin can be misaligned, therefore changing the subject direction in relation to the F d (note that the simulator cabin is not represented in the schematic). Feenstra, & Bles, 2008;Valente Pais et al, 2009) were not able to deliver lateral specific forces with amplitudes higher than approximately 3 m/s 2 . This is because these solutions were targeted at city driving, with a focus on low-speed curve driving.…”

“…The Desdemona cabin contained a car mockup similar to the one used in Valente Pais, Wentink, van Paassen, and Mulder (2009). This mockup included a force feedback steering wheel (40 cm) and two pedals (gas and brake) with force feedback.…”

Motion filter design for driver observation in hexapod car simulators

“…This article aims at porting the knowledge of aerospace motion filters to car driving. A number of other studies also address car driving in motion simulators, but target different type of simulators [8] or a different motion space [9].…”