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The Challenges of Driving Mode Switching in Automated Vehicles: A Review
16 references·0 citing·38 second hop
The Challenges of Driving Mode Switching in Automated Vehicles: A Review (2023)The Challenges of Driving Mode Switching …Driver stress detection via multimodal fusion using attention-based CNN-LSTM (2021)Driver stress detection via m…Determinants of take-over time from automated driving: A meta-analysis of 129 studies (2019)Determinants of take-over tim…A Comprehensive Survey of Driving Monitoring and Assistance Systems (2019)A Comprehensive Survey of Dri…The “Out-of-the-Loop” concept in automated driving: proposed definition, measures and implications (2018)The “Out-of-the-Loop” concept…Automation Expectation Mismatch: Incorrect Prediction Despite Eyes on Threat and Hands on Wheel (2018)Automation Expectation Mismat…Takeover Time in Highly Automated Vehicles: Noncritical Transitions to and From Manual Control (2017)Takeover Time in Highly Autom…Taking Over Control From Highly Automated Vehicles in Complex Traffic Situations (2016)Taking Over Control From High…Recent Trends in Driver Safety Monitoring Systems: State of the Art and Challenges (2016)Recent Trends in Driver Safet…Human factors of transitions in automated driving: A general framework and literature survey (2016)Human factors of transitions …Transition to manual: Driver behaviour when resuming control from a highly automated vehicle (2014)Transition to manual: Driver …The sensitivity of different methodologies for characterizing drivers’ gaze concentration under increased cognitive demand (2014)The sensitivity of different …Semi-automated versus highly automated driving in critical situations caused by automation failures (2014)Semi-automated versus highly …How Traffic Situations and Non-Driving Related Tasks Affect the Take-Over Quality in Highly Automated Driving (2014)How Traffic Situations and No…“Take over!” How long does it take to get the driver back into the loop? (2013)“Take over!” How long does it…Highly Automated Driving, Secondary Task Performance, and Driver State (2012)Highly Automated Driving, Sec…Situation awareness and workload in driving while using adaptive cruise control and a cell phone (2005)Situation awareness and workl…Ironies of automation (1983)The Out-of-the-Loop Performance Problem and Level of Control in Automation (1995)Toward a Theory of Situation Awareness in Dynamic Systems (1995)Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence (2014)Measurement of Situation Awareness in Dynamic Systems (1995)Situation Awareness Analysis and Measurement (2000)Active and passive fatigue in simulated driving: Discriminating styles of workload regulation and their safety impacts. 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References

  • 2013“Take over!” How long does it take to get the driver back into the loop?775 cited
  • 2017Takeover Time in Highly Automated Vehicles: Noncritical Transitions to and From Manual Control691 cited
  • 2014Transition to manual: Driver behaviour when resuming control from a highly automated vehicle642 cited
  • 2014How Traffic Situations and Non-Driving Related Tasks Affect the Take-Over Quality in Highly Automated Driving447 cited
  • 2016Taking Over Control From Highly Automated Vehicles in Complex Traffic Situations441 cited
  • 2019Determinants of take-over time from automated driving: A meta-analysis of 129 studies436 cited
  • 2012Highly Automated Driving, Secondary Task Performance, and Driver State393 cited
  • 2005Situation awareness and workload in driving while using adaptive cruise control and a cell phone291 cited
  • 2018The “Out-of-the-Loop” concept in automated driving: proposed definition, measures and implications285 cited
  • 2019A Comprehensive Survey of Driving Monitoring and Assistance Systems221 cited
  • 2016Human factors of transitions in automated driving: A general framework and literature survey209 cited
  • 2018Automation Expectation Mismatch: Incorrect Prediction Despite Eyes on Threat and Hands on Wheel208 cited
  • 2021Driver stress detection via multimodal fusion using attention-based CNN-LSTM199 cited
  • 2014

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Semi-automated versus highly automated driving in critical situations caused by automation failures
194 cited
  • 2016Recent Trends in Driver Safety Monitoring Systems: State of the Art and Challenges168 cited
  • 2014The sensitivity of different methodologies for characterizing drivers’ gaze concentration under increased cognitive demand153 cited
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