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How Resource Demands of Nondriving-Related Tasks and Engagement Time Affect Drivers' Physiological Response and Takeover Performance in Conditional Automated Driving.

, , , and . IEEE Trans. Hum. Mach. Syst., 53 (3): 600-609 (2023)

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Research of pedestrian detection for intelligent vehicle based on machine vision., , , , and . ROBIO, page 1172-1177. IEEE, (2009)How Resource Demands of Nondriving-Related Tasks and Engagement Time Affect Drivers' Physiological Response and Takeover Performance in Conditional Automated Driving., , , and . IEEE Trans. Hum. Mach. Syst., 53 (3): 600-609 (2023)Torque distribution for electric vehicle with four in-wheel motors by considering energy optimization and dynamics performance., , , , , and . Intelligent Vehicles Symposium, page 1619-1624. IEEE, (2017)Stereo Vision Based Obstacle Avoidance Path-Planning for Cross-Country Intelligent Vehicle., , , and . FSKD (5), page 463-467. IEEE Computer Society, (2009)LightMOT: a lightweight convolution neural network for real-time multi-object tracking., , , , and . Int. J. Bio Inspired Comput., 22 (3): 152-161 (2023)Multi-Object Trajectory Prediction Based on Lane Information and Generative Adversarial Network., , and . Sensors, 24 (4): 1280 (February 2024)Effects of Non-Driving-Related Tasks with Different Resource Demands on Driver Gaze Behavior., , , , and . ITSC, page 1440-1445. IEEE, (2022)Multi-vehicle Detection and Tracking Based on Kalman Filter and Data Association., , , and . ICIRA (5), volume 11744 of Lecture Notes in Computer Science, page 439-449. Springer, (2019)Research on System Design and Control Technology of Vision-Based CyberCar., , , , and . IROS, page 3325-3330. IEEE, (2006)Driving fatigue detection based on fusion of EEG and vehicle motion information., , , , , and . Biomed. Signal Process. Control., (2024)