Author : Ali Mohammad Tarif
Publisher : GRIN Verlag
ISBN 13 : 3668611750
Total Pages : 26 pages
Book Rating : 4.57/5 ( download)
Book Synopsis Self-Driving Car Simulation using Adaboost-CNN Algorithm by : Ali Mohammad Tarif
Download or read book Self-Driving Car Simulation using Adaboost-CNN Algorithm written by Ali Mohammad Tarif and published by GRIN Verlag. This book was released on 2018-01-15 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt: Project Report from the year 2017 in the subject Engineering - Automotive Engineering, grade: 2.00, International Islamic University Malaysia, course: CSC 3304: Machine Learning, language: English, abstract: People spend hours to drive their car from place to place. What if a person sets its destination and goes to sleep while the car drives itself to the destination? It will save plenty of time. Tesla already started selling autopilot cars. Though the car can drive itself but is trustable only in certain quality roads. This means, research should still be carried out in self driving car project. All of the existing self-driving car simulation projects used Convolutional Neural Network as learning method. Though Adaboost is mostly used with binary classification problem, a variant can be developed to adapt Adaboost with Convolutional Neural Network.