Autonomous Vehicle Drive through Advanced Navigation Marker Identification and Categorization System: ANMIC

Abstract

The ANMIC is a context dependent, multi perspective multilevel concept based on image capturing. The field related to autonomous vehicle among map navigation has historically been informed by knowledge from narrow functional areas. While some effort towards producing a broader perspective of the concept has been made, nonetheless, autonomous vehicle in navigation continues to be largely eclectic with little development of concept within the consensus on its conceptualization and research methodological bases. The paper proposed the method of image capturing, its categorization for run time video. MATLAB has been used to implement the concept. The paper proposes an algorithm which creates image categorization mechanism leads to detection of landmarks from run time video; vehicle navigation is further facilitated by the detected markers using optical flow approach; categorization mechanism detects the non-trivial markers by removing triviality step by step. The paper has attempted to identify categorization technique of images by proposing various trivial levels.