Difference between revisions of "Projects:2017s1-181 BMW Autonomous Vehicle Project Camera Based Lane Detection in a Road Vehicle for Autonomous Driving"
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Robert Dollinger | Robert Dollinger | ||
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Dr. Brain Ng | Dr. Brain Ng | ||
Revision as of 19:16, 21 September 2017
Team
Team Member
Lai Wei
Lei Zhou
Sheng Gao
Zheng Xu
Supervisor
Prof. Nesimi Ertugrul
Robert Dollinger
Dr. Brain Ng
Introduction
Background
An automated vehicle [[1]] can be seen as a cognitive system and must handle all tasks compared to the human driver. The development of autonomous driving technology did not last long, but it develops very quickly, and far-reaching significance. Typically, 'Camera Based Lane Detection' method is an application of computer vision technique [[2]] in the autonomous driving field. It would develop the camera function application on a road vehicle instead of traditional human driver vision, such as lane detection or object tracking.
Projects Aims
The purpose of the project is to build a camera module which would be applied on lane detection and guide the autonomous vehicle. In order to implement the camera module, there are two proposed approaches would be developed, which are hardware and software. The whole process of the project is going to around these approaches.
