Steering Feel of Lane Keeping Assist Systems

Stroke can adversely affect the coordination and judgement of drivers due to executive dysfunction, which is relatively common in the post-stroke population but often undetected. Quantitatively examining vehicle control performance in post-stroke driving becomes essential to inspect whether and where post-stroke older drivers are risky. To date, it is unclear as to which indicators, such as lane keeping or speed control, can differentiate the driving performance of post-stroke older drivers from that of normal (neurotypical) older drivers. By employing a case–control design using advanced vehicle movement tracking and analysis technology, this pilot study aimed to compare the variations in driving trajectory, lane keeping and speed control between the two groups of older drivers using spatial and statistical techniques. The results showed that the mean standard deviation of lane deviation (SDLD) in post-stroke participants was higher than that of normal participants in complex driving tasks (U-turn and left turn) but almost the same in simple driving tasks (straight line sections). No statistically significant differences were found in the speed control performance. The findings indicate that, although older drivers can still drive as they need to after a stroke, the decline in cognitive abilities still imposes a higher cognitive workload and more effort for post-stroke older drivers. Future studies can investigate post-stroke adults’ driving behaviour at more challenging driving scenarios or design driving intervention programs to improve their executive function in driving.

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Takagi-Sugeno Fuzzy-based Robust H∞ Integrated Lane-Keeping and Direct Yaw Moment Controller of Unmanned Electric Vehicles

IEEE/ASME Transactions on Mechatronics ◽

10.1109/tmech.2020.3032998 ◽

2020 ◽

pp. 1-1

Author(s):

Jinghua Guo ◽

Jingyao Wang ◽

Yugong Luo ◽

Keqiang Li

Keyword(s):

Electric Vehicles ◽

Lane Keeping ◽

Takagi Sugeno ◽

Yaw Moment

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Development and Testing of a Methodology for the Assessment of Acceptability of LKA Systems

Machines ◽

10.3390/machines8030047 ◽

2020 ◽

Vol 8 (3) ◽

pp. 47 ◽

Cited By ~ 1

Author(s):

Luca Salvati ◽

Matteo d’Amore ◽

Anita Fiorentino ◽

Arcangelo Pellegrino ◽

Pasquale Sena ◽

...

Keyword(s):

Force Feedback ◽

Feedback System ◽

Operating Conditions ◽

Experimental Methodology ◽

Driving Safety ◽

Steering Wheel ◽

Human In The Loop ◽

Automation Systems ◽

Driving Stability ◽

Lane Keeping

In recent years, driving simulators have been widely used by automotive manufacturers and researchers in human-in-the-loop experiments, because they can reduce time and prototyping costs, and provide unlimited parametrization, more safety, and higher repeatability. Simulators play an important role in studies about driver behavior in operating conditions or with unstable vehicles. The aim of the research is to study the effects that the force feedback (f.f.b.), provided to steering wheel by a lane-keeping-assist (LKA) system, has on a driver’s response in simulators. The steering’s force feedback system is tested by reproducing the conditions of criticality of the LKA system in order to minimize the distance required to recover the driving stability as a function of set f.f.b. intensity and speed. The results, obtained in three specific criticality conditions, show that the behaviour of the LKA system, reproduced in the simulator, is not immediately understood by the driver and, sometimes, it is in opposition with the interventions performed by the driver to ensure driving safety. The results also compare the performance of the subjects, either overall and classified into subgroups, with reference to the perception of the LKA system, evaluated by means of a questionnaire. The proposed experimental methodology is to be regarded as a contribution for the integration of acceptance tests in the evaluation of automation systems.

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