Dec 30, 2022 · This letter presents a novel indoor visual re-localization method for long-term autonomous robots. First, a scene graph model is proposed.
1) A novel scene graph model is proposed that understands the scene at the level of object instances and can reason the semantic relationships among objects. 2) ...
1) A novel scene graph model is proposed that understands the scene at the level of object instances and can reason the semantic relationships among objects. 2) ...
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May 29, 2024 · ... Guo*, Z. Mi, X. Wang, Y. Yang, and M. S. Obaidat, “Indoor Visual Re-Localization for Long-Term Autonomous Robots Based on Object-Level Features.
Nov 4, 2024 · Our method introduces a lightweight check that enforces matches to be within long-term static objects and have consistent semantic classes. We ...
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The position relationship between objects in the Figure 2.
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This paper introduces a novel method that enables robots to learn the semantics of user demonstrations, with a particular emphasis on the relationships between ...
Inspired by the strategy of finding a missing person (SFMP), this paper proposes an efficient re-localization solution to achieve enhanced recovery speed and ...
Apr 17, 2024 · The two primary applications that I considered for such an idea are: Using the position of other robots to autonomously move around them, ...
The main concept is to capture real-time images in the navigation environment, process and extract features of the objects, and then employ an SVM classifier to ...
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Indoor Visual Re-Localization for Long-Term Autonomous Robots Based on Object-Level Features and Semantic Relationships. Article. Jan 2022. Yuanyan Xie ...