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Visual PlaceRecognition: A Survey Stephanie LowryNiko SünderhaufPaul Newman2015 год

Visual Place Recognition: A Survey
статья из журнала

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Аннотация: Visual place recognition is a challenging problem due to the vast range of ways in which the appearance of real-world places can vary. In recent years, improvements in visual sensing capabilities, an ever-increasing focus on long-term mobile robot autonomy, and the ability to draw on state-of-the-art research in other disciplines-particularly recognition in computer vision and animal navigation in neuroscience-have all contributed to significant advances in visual place recognition systems. This paper presents a survey of the visual place recognition research landscape. We start by introducing the concepts behind place recognition-the role of place recognition in the animal kingdom, how a "place" is defined in a robotics context, and the major components of a place recognition system. Long-term robot operations have revealed that changing appearance can be a significant factor in visual place recognition failure; therefore, we discuss how place recognition solutions can implicitly or explicitly account for appearance change within the environment. Finally, we close with a discussion on the future of visual place recognition, in particular with respect to the rapid advances being made in the related fields of deep learning, semantic scene understanding, and video description.
Год издания: 2015
Авторы: Stephanie Lowry, Niko Sünderhauf, Paul Newman, John J. Leonard, David Cox, Peter Corke, Michael Milford
Издательство: Institute of Electrical and Electronics Engineers
Источник: IEEE Transactions on Robotics
Ключевые слова: Robotics and Sensor-Based Localization, Advanced Image and Video Retrieval Techniques, Video Surveillance and Tracking Methods
Другие ссылки: IEEE Transactions on Robotics (HTML)
QUT ePrints (Queensland University of Technology) (HTML)
QUT ePrints (Queensland University of Technology) (HTML)