Abstract:
This paper presents a visual features based place recognition method to be used in the
computer vision or robotics research fields especially in the localization and navigation
algorithm. Many research studies have been conducted on the navigation method for
mobile robot (or AGV in the context of manufacturing environment), and introduced precise
and accurate place recognition methods. However, we believe that in some situation, rather
than precise and accurate recognition, identifying the place through an uncomplicated yet
robust recognition method should be good enough for a mobile robot (or AGV) to move and
perform its tasks in a manufacturing environment. In our proposed method, the recognition
method depends only on the visual features which could be extracted from the environment, and evaluated by using a neural network. Experimental results demonstrate the
effectiveness of our proposed method. © 2022, The Author(s), under exclusive license to
Springer Nature Singapore Pte Ltd.
