Smart Driver Training Programs

Käppler, Wolf Dieter

doi:10.1007/978-3-540-77070-1_4

Cited by 2 publications

(3 citation statements)

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“…Our research is limited by the constraints of the fixedbase simulator environment. Such investigations have limited physical, perceptual, and behavioral fidelity [52], [53]. Käppler [53] has pointed out that the lack of real danger in driving simulators can induce a false sense of safety, responsibility, or competence.…”

Section: Discussionmentioning

confidence: 99%

“…Such investigations have limited physical, perceptual, and behavioral fidelity [52], [53]. Käppler [53] has pointed out that the lack of real danger in driving simulators can induce a false sense of safety, responsibility, or competence. Hence, further studies are necessary to investigate whether drivers will accept the system's behavior in a more realistic driving context.…”

Section: Discussionmentioning

confidence: 99%

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Bringing a Vehicle to a Controlled Stop: Effectiveness of a Dual-Control Scheme for Identifying Driver Drowsiness and Preventing Lane Departures Under Partial Driving Automation Requiring Hands-on-Wheel

Saito

Itoh

Inagaki

2022

IEEE Trans. Human-Mach. Syst.

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Partial driving automation systems execute sustained lateral and longitudinal control, while humans are required to supervise the automated driving features. Similar with drivers using manual driving settings, those using automated driving systems may also experience drowsiness. However, existing systems that aim to detect driver drowsiness tend to be unreliable. This study applies a dual-control scheme in the partial driving automation context in which the driver must keep their hands on the vehicle's steering wheel. This scheme executes a partial steering control when a vehicle lane departure is anticipated (because of inappropriate torque input) and then activates a deceleration control if the driver does not properly perform the required action. To determine whether the driver is supervising the partial driving automation, the scheme attempts to create an opportunity for driver-automation interactions. Thus, the controller's objectives are twofold: safety control and driver state identification. This study investigated the effectiveness of the scheme for identifying driver drowsiness and preventing lane departures using only vehicle information. Twenty drivers participated in a fixed-base driving simulator experiment in a sleep-inducing environment. While we observed cases in which the system could effectively bring the vehicle to a controlled stop, the timeliness and accuracy of the driver state identification remained as issues owing to indirect links between the drivers' drowsiness level and controller activation. We conclude that although the dual-control scheme is a useful mechanism to avoid lane departures, the driver state identification needs to be improved to ensure timely and effective detection of driver drowsiness.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Bringing a Vehicle to a Controlled Stop: Effectiveness of a Dual-Control Scheme for Identifying Driver Drowsiness and Preventing Lane Departures Under Partial Driving Automation Requiring Hands-on-Wheel

Saito

Itoh

Inagaki

2022

IEEE Trans. Human-Mach. Syst.

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“…Vehicle-based simulation can be traced back to at least the Second World War, when aircraft simulators were used for pilot training, and continue to be used for different scientific and training purposes [1], although the earliest examples of driving simulation date back to the mid-1950s, where a driving cab was constructed in front of a wall with a painting of a road scene on it. Modest advancements in this approach included changing the wall to a projector screen, and projecting an image of a road scene [2].…”

Section: Introductionmentioning

confidence: 99%

Replicating Reality: Driver Assessment using Dual-Fidelity Simulator

Kaneswaran

Brogan²,

Mulcahy

et al. 2013

24th IET Irish Signals and Systems Conference (ISSC 2013)

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̶ This paper presents a driving simulator constructed for the purposes of allowing a direct comparison between two levels of fidelity in the driver interaction stream. The driving simulator itself is described, followed by an overview of two types of simulation; the first uses a three-dimensional model of a real world route, based upon data acquired from the Open Street Map standard. The second is a high-fidelity video sequence of the same route, acquired using a portable mobile mapping system. A comparison of the driver response to the route in terms of speed for each the data fidelities are then presented.

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Smart Driver Training Programs

Cited by 2 publications

References 0 publications

Bringing a Vehicle to a Controlled Stop: Effectiveness of a Dual-Control Scheme for Identifying Driver Drowsiness and Preventing Lane Departures Under Partial Driving Automation Requiring Hands-on-Wheel

Bringing a Vehicle to a Controlled Stop: Effectiveness of a Dual-Control Scheme for Identifying Driver Drowsiness and Preventing Lane Departures Under Partial Driving Automation Requiring Hands-on-Wheel

Replicating Reality: Driver Assessment using Dual-Fidelity Simulator

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