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Innovative Method Provides Affordable, Dependable Robot Positioning Systems

Innovative Method Provides Affordable, Dependable Robot Positioning Systems
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City Of , United Kingdom , Michael Milford , Tobias Fischer , Connor Malone , Australian Research Council Laureate , Research Fellow Stephen Hausler , School Of Electrical Engineering Robotics , International Conference On Robotics , Amazon Research Award , Centre For Robotics , Visual Place Recognition , Electrical Engineering , Fellow Stephen Hausler , Joint Director , Australian Research Council Laureate Fellow , Professor Michael Milford ,

Novel Approach Offers Cheap, Reliable Positioning Systems for Robots

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. ....

City Of , United Kingdom , Stephen Hausler , Megan Craig , Tobias Fischer , Michael Milford , Connor Malone , Australian Research Council Laureate , International Conference On Robotics , Queensland University Of Technology , School Of Electrical Engineering Robotics , Centre For Robotics , Queensland University , Visual Place Recognition , Automation Industry Focus , Electrical Engineering , Joint Director , Australian Research Council Laureate Fellow , Professor Michael Milford ,

"Visual place recognition: A survey from deep learning perspective" by Xiwu Zhang, Lei Wang et al.

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 references, we present a comprehensive survey that covers various aspects of place recognition from deep learning perspective. We first present a brief introduction of deep learning and discuss its opportunities for recognizing places. After that, we focus on existing approaches built upon convolutional neural networks, including off-the-shelf and specifically designed models as well as novel image representations. We also discuss challenging problems in place recognition and present an exten ....

Deep Learning , Visual Place Recognition , Visual Slam , ஆழமான கற்றல் ,