2020
DOI: 10.3390/s20071968
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Detection of Driving Capability Degradation for Human-Machine Cooperative Driving

Abstract: Due to the limitation of current technologies and product costs, humans are still in the driving loop, especially for public traffic. One key problem of cooperative driving is determining the time when assistance is required by a driver. To overcome the disadvantage of the driver state-based detection algorithm, a new index called the correction ability of the driver is proposed, which is further combined with the driving risk to evaluate the driving capability. Based on this measurement, a degraded domain (DD… Show more

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Cited by 5 publications
(5 citation statements)
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“…Although fatigue and sleepiness can be detected using these methods, they are insufficient as a method for determining driving ability because the driver's aptitude judgment is needed. Paper [12] showed the car driving evaluation in a driving simulator to apply for car automated driving. However, paper [12] does not have the research of car driving evaluation that includes gaze information using an actual car driving.…”
Section: Previous Studies About Gaze Estimation Methods For Driving T...mentioning
confidence: 99%
See 1 more Smart Citation
“…Although fatigue and sleepiness can be detected using these methods, they are insufficient as a method for determining driving ability because the driver's aptitude judgment is needed. Paper [12] showed the car driving evaluation in a driving simulator to apply for car automated driving. However, paper [12] does not have the research of car driving evaluation that includes gaze information using an actual car driving.…”
Section: Previous Studies About Gaze Estimation Methods For Driving T...mentioning
confidence: 99%
“…Paper [12] showed the car driving evaluation in a driving simulator to apply for car automated driving. However, paper [12] does not have the research of car driving evaluation that includes gaze information using an actual car driving.…”
Section: Previous Studies About Gaze Estimation Methods For Driving T...mentioning
confidence: 99%
“…The accident rate is a reflection of the success of the take-over and can be a qualitative judgment of the quality of the take-over. In automatic driving take-over studies, the take-over reaction time, the steering reaction time, the minimum TTC, and the maximum synthetic acceleration are the most commonly used take-over performance evaluation indexes [39][40][41][42], and are widely used by scholars.…”
Section: Evaluation Metricsmentioning
confidence: 99%
“…However, due to the shortage of current automatic driving technologies and the high costs [10], driverless cars have not achieved the largescale commercial applications. For the open and complicated traffic scenarios, a human driver still has to stay in the control loop of vehicle [11] [12]. So a cooperation realized by integration of both a human and a machine pilot has drawn much attention recently, because it allows them to be in the control loop of vehicle concurrently [13].…”
Section: Introductionmentioning
confidence: 99%