Vision based road lane tracking using macro block temporal predictions

Date of Publication

2013

Document Type

Master's Thesis

Degree Name

Master of Science in Electronics and Communications Engineering

College

Gokongwei College of Engineering

Department/Unit

Electronics and Communications Engineering

Thesis Adviser

Alvin Y. Chua

Defense Panel Chair

Edwin Sybingco

Defense Panel Member

Cesar Llorente
Melvin Cabatuan

Abstract/Summary

The Vision Based Road Lane Tracking using Macro Block (MB) Temporal Predictions is a method aimed to further advance the active research of using machine vision in detecting and tracking road lane markings. These researches are always focusing on both accuracy and complexity of the systems output. The survey conducted by McCall and Trivedi [4] summarizes a comprehensive study of existing methods, none of which uses Macro Blocking. The study focused on the characteristic of each MB subjected to different conditions of detecting, tracking and predicting of road lanes. Several experiments were done repeatedly to quantify the effectiveness of the study such as accuracy of MB, complexity of system, and MSE.

Abstract Format

html

Language

English

Format

Electronic

Accession Number

CDTG005358

Shelf Location

Archives, The Learning Commons, 12F Henry Sy Sr. Hall

Physical Description

1 computer optical disc ; 4 3/4 in.

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