dc.contributor.author |
Project Supervisor: Dr Muwahida Liaquat, Hamza Riaz Muhammad Hamza Jamil Muhammad Saad Khan Muhammad Hasan Jalil |
|
dc.date.accessioned |
2025-03-06T10:03:21Z |
|
dc.date.available |
2025-03-06T10:03:21Z |
|
dc.date.issued |
2021 |
|
dc.identifier.other |
DE-ELECT-39 |
|
dc.identifier.uri |
http://10.250.8.41:8080/xmlui/handle/123456789/50682 |
|
dc.description |
Project Supervisor: Dr Muwahida Liaquat |
en_US |
dc.description.abstract |
In today’s day and age the paradigm of transportation is at a crossroads of a new
shift that is of self-driving vehicles, although the self-driving vehicles have become
functional and are in use, the shift in technology takes time and is constantly
evolving and needs attention especially in third world countries such as Pakistan
which do not have localized data sets for such programs to be trained upon.
Our Project is a vital part of this very self-driving technology i.e. the lane detection
system. We aim to use sensors complimenting a main Camera for our sight with
the detection apparatus programmed through Open CV using the python
Interface. The apparatus will be able to locate and detect lanes on a road in order
to process and visualize a path for the vehicle to follow. The main goal of this
project is to program a usable well trained algorithm capable of lane detection on
the Pakistani Roads hence making the project a localized endeavor.
The proposed project strictly involves creating and training a localized
programmed apparatus to be used for lane detection only in aiding self-driving
vehicles. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
College of Electrical & Mechanical Engineering (CEME), NUST |
en_US |
dc.title |
Lane Detection System |
en_US |
dc.type |
Project Report |
en_US |