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.
Recommended Citation
Roxas, E. (2013). Vision based road lane tracking using macro block temporal predictions. Retrieved from https://animorepository.dlsu.edu.ph/etd_masteral/4381