Obstacle Detection and Road Monitoring System using MATLAB
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Date
2015-12-22T07:30:45Z
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Abstract
Technology adds much advancement to our everyday lives. In the same line falls the objective of automotive safety. With driving a vehicle requiring utmost concentration, a front collision system would be of great help. The past decade has seen great advances in this field. Research is still on to make it more efficient.
The increase in automobile accidents has heightened the awareness of safety in the general public, and serious safety measures have been pushed forward in various countries. Although those efforts have achieved a certain level of success, more effective methods are needed to cope with further increases of automobile ownership
A warning system can make up for lack of attention of the driver due to fatigue, drowsiness or any reasons. The aim of this project is to develop a monitoring system that would warn about a possible collision. This can be further improved by developing an ACC (Autonomous cruise control) also known as pre-crash system, forward collision warning system or collision mitigating system that automatically adjusts vehicle speed to maintain a safe distance from vehicle ahead. The technology used for this purpose ranges from radar, sensors, sonar to image processing. This report suggests using image processing for this purpose. Image processing has the obvious advantage of possessing much more information about the scenario under consideration. The warning must be issued in real time. Thus the algorithm developed has to be time efficient.
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Obstacle Detection and Road Monitoring System using MATLAB, Prithvi K, Salma Shirin, Sneha Sarawathi M