Visual Place Recognition News Today

QUT researchers have developed a unique and improved approach to the way robots see, with the aim of making cheap and reliable positioning systems for applications such as service robots and general autonomous vehicle systems.

Abstract Visual place recognition has attracted widespread research interest in multiple fields such as computer vision and robotics. Recently, researchers have employed advanced deep learning techniques to tackle this problem. While an increasing number of studies have proposed novel place recognition methods based on deep learning, few of them has provided a whole picture about how and to what extent deep learning has been utilized for this issue. In this paper, by delving into over 200 refer...