Master of Science in Engineering (MSE)
Electrical and Computer Engineering
First Committee Member
Second Committee Member
Third Committee Member
Fourth Committee Member
Number of Pages
In order to evaluate the efficacy of the skid recovery exercise in the Driver’s Edge teenage driving program, a process is established to determine the trajectories of vehicles from recorded videos, compare them in terms of similarity through dynamic time warping (DTW), and then analyze the similarity measurements to assess whether the program has a significant effect on driving ability by repeated measures analysis of variance (rANOVA). The video is analyzed by Harris corner detection and Lucas-Kanade optical flow method to ascertain the vehicle trajectories. A homography is then estimated to translate coordinates from video into real-world. The instructor and student trajectories are next compared for similarity by DTW as a measure of student performance. The similarity measurements are then analyzed through rANOVA and the Driver’s Edge program is determined to have a significant effect on student driving ability in the skid recovery exercise.
DTW; Dynamic Time Warping; Harris Corner Detector; Lucas-Kanade Optical Flow; rANOVA; Repeated Measures
Applied Mathematics | Electrical and Computer Engineering
University of Nevada, Las Vegas
Chang, Michael I., "Trajectory Analysis for Driving Safety Quantification" (2023). UNLV Theses, Dissertations, Professional Papers, and Capstones. 4652.
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