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Integrating Driving Behavior and Traffic Context Through Signal Symbolization for Data Reduction and Risky Lane Change Detection.

, , , , , , and . IEEE Trans. Intell. Veh., 3 (3): 242-253 (2018)

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Measuring driver awareness based on correlation between gaze behavior and risks of surrounding vehicles., , , , , , and . ITSC, page 644-647. IEEE, (2012)Integrating Driving Behavior and Traffic Context Through Signal Symbolization for Data Reduction and Risky Lane Change Detection., , , , , , and . IEEE Trans. Intell. Veh., 3 (3): 242-253 (2018)Integrating driving behavior and traffic context through signal symbolization., , , , , , and . Intelligent Vehicles Symposium, page 642-647. IEEE, (2016)Integrated modeling of driver gaze and vehicle operation behavior to estimate risk level during lane changes., , , , and . ITSC, page 2020-2025. IEEE, (2013)Automatic lane change extraction based on temporal patterns of symbolized driving behavioral data., , , , , and . Intelligent Vehicles Symposium, page 976-981. IEEE, (2015)Anomaly Detection of Roads from Driving Data Using a Statistical Discrepancy Measure., , , , , , and . ITSC, page 2064-2067. IEEE, (2018)Evaluating Mental State of Drivers in Automated Driving Using Heart Rate Variability towards Feasible Request-to-Intervene., , , , , , , , , and 1 other author(s). SMC, page 3454-3459. IEEE, (2020)