What question did this study set out to answer?

Synthesize the theoretical foundations, algorithmic classifications, and practical automotive implementations of shared control systems in automated vehicles.

September 23, 2020IEEE Transactions on Human-Machine SystemsOpen Access

A Review of Shared Control for Automated Vehicles: Theory and Applications

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Synthesize the theoretical foundations, algorithmic classifications, and practical automotive implementations of shared control systems in automated vehicles.
Categorized existing literature into theory-oriented and application-oriented contributions.
Classified control architectures into coupled versus uncoupled schemes and compared model-based versus model-free steering control algorithms.
Evaluated the experimental performance of model-based controllers that included testing with at least one human driver.
Incorporating an explicit driver model into the control architecture substantially reduces physical steering conflicts between the driver and automation.
Dynamic authority allocation relies heavily on real-time assessments of driver state, physical driver effort, and safety indicators.
Most empirical evaluations are restricted to driver-in-the-loop simulators, with limited experimental deployments in real vehicles.

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Implication

Systematic review reveals that driver-modeling algorithms reduce steering conflicts in automated vehicles, indicating the need for real-world validation beyond simulators.

Cite This Study

Marcano et al. (2020) studied this question.

synapsesocial.com/papers/6a0ea8dc8da6dd046147a222 https://doi.org/10.1109/thms.2020.3017748

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Implication

Systematic review reveals that driver-modeling algorithms reduce steering conflicts in automated vehicles, indicating the need for real-world validation beyond simulators.

A Review of Shared Control for Automated Vehicles: Theory and Applications

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Implication

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A Review of Shared Control for Automated Vehicles: Theory and Applications

Key Points

Discussion

Implication

Cite This Study

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