Adaboost machine learning technique [4] which accounts for a
varied set of targets, landmarks even when they appear
different from different viewing angles. The necessity of
detecting these landmarks is to construct a set of distinct
regions in the form of a map. This accounts for the Visual
SLAM task while also localizing the current position of the
vehicle within the map [5]. The problem of SLAM is being
dealt with by a majority of autonomous vehicle researchers but
evaluating this algorithm was necessary to help us understand
the requirement of a general purpose object detection method
for autonomous vehicle platforms.