On-board real-time single line scanning technique for used on unmanned aerial vehicle of low altitude mapping

Create a map is an initial task for a robot to maneuver or navigated automatically in a proposed area. It is a difficult task for a robot creates a map and performs the desired task concurrently especially on an aerial application. Aerial application needs a simple and light computational method in order to process the applied algorithm. This paper presents a distinctive technique of single line scanning technique via vision based sensor. The vision algorithm is processed consequently on the embedded controller board that is attached on the UAV. The simple morphological algorithm is designed which consist of thresholding, binarization and recognition of the image captured. The structured platform is moving while the proposed technique is processed and it scanned the features underneath the platform. The processed images are used for features identification and feature size measurement. The processed images and the future UAV data are wirelessly monitored via the wireless transceiver devices. The result proves that the method proposed is applicable for features detection application that would be utilized on the UAV. Also it is proved that the proposed method is totally on-board real time process and gave sufficient accuracy for the future detection recognition application.