Exploring Emerging Trends and Research Opportunities in Visual Place Recognition

• URL: http://arxiv.org/abs/2411.11481v1
• Date: Mon, 18 Nov 2024 11:36:17 GMT
• Title: Exploring Emerging Trends and Research Opportunities in Visual Place Recognition
• Authors: Antonios Gasteratos, Konstantinos A. Tsintotas, Tobias Fischer, Yiannis Aloimonos, Michael Milford,
• Abstract summary: Visual-based recognition is a long-standing challenge in computer vision and robotics communities. Visual place recognition is vital for most localization implementations. Researchers have recently turned their attention to vision-language models.
• Score: 28.76562316749074
• License:
• Abstract: Visual-based recognition, e.g., image classification, object detection, etc., is a long-standing challenge in computer vision and robotics communities. Concerning the roboticists, since the knowledge of the environment is a prerequisite for complex navigation tasks, visual place recognition is vital for most localization implementations or re-localization and loop closure detection pipelines within simultaneous localization and mapping (SLAM). More specifically, it corresponds to the system's ability to identify and match a previously visited location using computer vision tools. Towards developing novel techniques with enhanced accuracy and robustness, while motivated by the success presented in natural language processing methods, researchers have recently turned their attention to vision-language models, which integrate visual and textual data.

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