Path trajectory of autonomous vehicles using Bezier curves

Holmes, Jaycee Hermida

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Title: Path trajectory of autonomous vehicles using Bezier curves
Author: Holmes, Jaycee Hermida
Date: 2015
Decade: 2010-2019
Abstract: This research explores the nature of the parametric Bezier Curves and its application in determining the path trajectory of an autonomous vehicle using Bezier curves. The research uses the MATLAB scripting language to find the optimal distance between control points of a fifth degree Bezier curve. This was found by finding the integral of the second derivative of the Bezier curve's curvature. The results of this research indicate an increasing linear dependency between the distance of the six control points and the length of the vehicle's trajectory, assuming that the width remains constant. The approximated correlation derived from the generated program will assist in finding a precise relationship between the two variables and will reduce the time in which autonomous vehicles plans its path.
Document Type: text
Format: application/pdf
Medium: conference proceedings
Collection: Enhancing Global Research and Education in STEM at Spelman College (G-STEM)
Department: Mathematics and Computer Science
Institution: Spelman College
Handle: http://hdl.handle.net/20.500.12322/sc.gstem:2015_holmes_jaycee_hermida
Rights: All works in this collection either are protected by copyright or are the property of the Robert W. Woodruff Library, and/or the copyright holder as appropriate. To order a reproduction or to inquire about permission to publish, please contact Holly Smith, College Archivist at: hsmith12@spelman.edu with the web URL or handle identification number.
Rights Statement: http://rightsstatements.org/vocab/InC-EDU/1.0/