Dawn M. Tilbury

Affiliations: 
University of Michigan, Ann Arbor, Ann Arbor, MI 
Area:
Mechanical Engineering, Computer Science
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"Dawn Tilbury"

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S. Shankar Sastry grad student 1990-1994 UC Berkeley (BME Tree)
 (Exterior differential systems and nonholonomic motion planning.)
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Publications

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Ali A, Azevedo-Sa H, Tilbury DM, et al. (2022) Heterogeneous human-robot task allocation based on artificial trust. Scientific Reports. 12: 15304
Du N, Zhou F, Pulver EM, et al. (2020) Predicting driver takeover performance in conditionally automated driving. Accident; Analysis and Prevention. 148: 105748
Saez MA, Maturana FP, Barton K, et al. (2020) Context-Sensitive Modeling and Analysis of Cyber-Physical Manufacturing Systems for Anomaly Detection and Diagnosis Ieee Transactions On Automation Science and Engineering. 17: 29-40
Moyne J, Qamsane Y, Balta EC, et al. (2020) A Requirements Driven Digital Twin Framework: Specification and Opportunities Ieee Access. 8: 107781-107801
Du N, Zhou F, Pulver EM, et al. (2020) Examining the effects of emotional valence and arousal on takeover performance in conditionally automated driving Transportation Research Part C: Emerging Technologies. 112: 78-87
Jayaraman SK, Creech C, Tilbury DM, et al. (2019) Pedestrian Trust in Automated Vehicles: Role of Traffic Signal and AV Driving Behavior. Frontiers in Robotics and Ai. 6: 117
Petersen L, Robert L, Yang XJ, et al. (2019) Situational Awareness, Driver’s Trust in Automated Driving Systems and Secondary Task Performance Sae International Journal of Connected and Automated Vehicles. 2
Jayaraman SK, Creech C, Tilbury DM, et al. (2019) Pedestrian Trust in Automated Vehicles: Role of Traffic Signal and AV Driving Behavior Frontiers in Robotics and Ai. 6
Du N, Ayoub J, Zhou F, et al. (2019) Examining the impacts of drivers’ emotions on takeover readiness and performance in highly automated driving Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 63: 2076-2077
Du N, Haspiel J, Zhang Q, et al. (2019) Look who’s talking now: Implications of AV’s explanations on driver’s trust, AV preference, anxiety and mental workload Transportation Research Part C: Emerging Technologies. 104: 428-442
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