Vision based road lane tracking using macro block temporal predictions
Date of Publication
Master of Science in Electronics and Communications Engineering
Gokongwei College of Engineering
Electronics And Communications Engg
Alvin Y. Chua
Defense Panel Chair
Defense Panel Member
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  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.
Archives, The Learning Commons, 12F Henry Sy Sr. Hall
1 computer optical disc ; 4 3/4 in.
Roxas, E. (2013). Vision based road lane tracking using macro block temporal predictions. Retrieved from https://animorepository.dlsu.edu.ph/etd_masteral/4381