Award Date

May 2023

Degree Type

Thesis

Degree Name

Master of Science in Engineering (MSE)

Department

Electrical and Computer Engineering

First Committee Member

Pushkin Kachroo

Second Committee Member

Yingtao Jiang

Third Committee Member

Biswajit Das

Fourth Committee Member

Monika Neda

Number of Pages

29

Abstract

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.

Keywords

DTW; Dynamic Time Warping; Harris Corner Detector; Lucas-Kanade Optical Flow; rANOVA; Repeated Measures

Disciplines

Applied Mathematics | Electrical and Computer Engineering

Degree Grantor

University of Nevada, Las Vegas

Language

English

Rights

IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/

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