Abstract:
In this paper, an analysis of collision detection via optical flow is presented. The main
objective of the work is to detect and initiate a warning signal when there is a non-moving
object or a moving object (such as a pedestrian) obstructing the path in which a vehicle
is moving. The warning signal is given only if there is a risk of a collision. In order to
gather the input video streams to the simulation, a camera with a resolution of
1280×720 pixels was used. Since the processing time increases with resolution, the actual
processing was carried out at a lower resolution of 160×120 pixels. The colour
segmentation was carried out through RGB colour space.
Simulink was used as a platform for the development and testing the simulation. Using
the Simulink blocks, video pre-processing, image segmentation, optical flow calculation
and thresholding were carried out. The stability of the video is one of the main concerns
in this research. For videos taken when the vehicle is moving at high speed, the stability
became an issue. The developed system tested successfully at speeds below 10 kmh-1
to
detect stationary objects and pedestrians crossing the roads.
