Reconfigurable navigation of an Automatic Guided Vehicle utilising omnivision

Automatic Guided Vehicles (AGVs) are navigated in different ways, utilising multiple types of sensors for detecting the environment. Different methods are then used to execute the navigation. In this research, such sensors are minimised by the use of an omnidirectional camera picture stream. The area of interest is extracted and by utilising image processing the vehicle is navigated on a set path. Utilising different coloured signs reconfigurability is added to the route layout resulting in the manipulation of a number of AGVs, each on its own designated coloured sign path by the operator with no programming alteration or intervention. A low-resolution camera and a MATLAB^® software development platform are utilised.